Proceedings of

DRDO Sponsored
Third National Conference on Innovations in
Information Technology
NCIIT 2012

24
th
& 25
th
February 2012






























Organized By
Department of Computer Science and Engineering
Bannari Amman Institute of Technology
Sathyamangalam 638 401
Erode District, Tamil Nadu





ORGANIZING COMMITTEE


PATRON
Dr S V Balasubramaniam
Chairman, BIT


CHIEF PATRON
Dr S K Sundararaman
Director, BIT


CHAIRMEN
Dr A M Natarajan
Chief Executive, BIT

Dr A Shanmugam
Principal, BIT


CONVENER
Dr. P. Thangaraj
Professor & Head / CSE. BIT


ORGANIZING SECRETARY
Dr. K. Premalatha
Professor / CSE, BIT


COORDINATOR
Mr. J Vijay Franklin
Assistant Professor / CSE, BIT






TECHNICAL COMMITTEE



Dr A Kannan
Anna University, Chennai


Dr S Kanmani
Pondicherry Engg. College,
Pondicherry


Dr K Chadrasekaran
NIT,Suratkal


Dr. Sudhasadhasivam
PSG College of Tech,
Coimbatore


Dr. M.L. Valarmathi
GCT, Coimbatore


Dr.N.Shanthi,
K.S.Rangasamy College of
Technology, Tiruchengode







Mr. N. Sundersan,
CTS, Bangalore


Dr. R. Thangarajan
Kongu Engineering College,
Erode


Dr. R.R. Rajalaxmi
Kongu Engineering College,
Erode

Dr. B. Sathyabama
Sona College of Technology,
Salem

Dr. B. Nagarajan
Bannari Amman Institute of
Technology, Sathyamangalam


Dr. Amitabh Wahi
Bannari Amman Institute of
Technology, Sathyamangalam











Proceedings of NCIIT 2012

Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology



About the Conference
The Third National Conference on Innovations in Information Technology will
provide an excellent national forum for sharing knowledge and results in theory,
methodology, applications and innovations in Information Technology. The Conference
looks for significant contributions to all major fields of the Computer Science and
Information Technology in theoretical and practical aspects. The aim of the conference is
to bring together academic scientists, industry researchers and scholar students to
exchange and share their experiences and research results about all aspects of Information
Technology, and discuss the practical challenges encountered and the solutions adopted.

About Bannari Amman I nstitute of Technology
The Bannari Amman Institute of Technology (BIT) is the fruit of decided efforts put
up by the Bannari Amman Group, a leading corporate house under the dynamic
chairmanship of a great visionary Dr. S. V. Balasubramaniam in South India to establish a
center of excellence in Engineering & Technology. It is an impressive campus, situated in a
serene surrounding at the foot hills of Nilgiris Mountains. The institute is affiliated to Anna
University, Coimbatore and approved by AICTE, New Delhi. The Institute offers several
undergraduate and postgraduate Programmes in Engineering, Technology. The institution
is ISO 9001:2000 certified for its quality education and most of the courses are accredited
by National Board of Accreditation (NBA), AICTE.

About the Department of CSE
The Department of Computer Science & Engineering is a unique center of BIT
established in 1996. It offers a 4 year B.E - CSE programme and 2 year M.E - CSE
programme. The department has dedicated and specialized faculty members in different
areas of computer Science & Engg., with rich experience in academics, industry and
research. The department has well equipped and spacious laboratories with modern
computer equipments.

Proceedings of NCIIT 2012
Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology
LIST OF PAPERS

Venue: CSE Smart Hall I & II

S.NO. TITLE OF THE PAPER PAGE NO.
1. A Secure And Dependable Storage With Multiple Cloud Servers

1
2. A Survey: Job Scheduling Algorithms In Grid Environment

1
3. An Efficient And Secure Nonlinear Programming Outsourcing in
Cloud Computing

2
4. Caching Scheme For Distributed Data Sharing In Peer-To-Peer
Environments

2
5. Enabling Public Auditability And Data Dynamics For Storage
Security In Cloud Computing

3
6. Enhancing Performance Of Home Network Using Middleware

3
7. Improving Hierarchical Load Balanced Algorithm For Job
Scheduling In A Grid Environment

4
8. Parallel Scheduling And Security Mechanism For Heterogeneous
Distributed Systems

4
9. Performance Analysis And Optimization Of Multi-Cloud
Computing For Loosely Coupled MTC Applications

5
10. Resume Analyzer Website For IT Companies Using Cloud
Computing

5
11. A Study Of Congestion Control Algorithm In Wireless Sensor
Networks

6
12. Accurate Tracking In Wireless Sensor Network By Sensor
Collaboration

6
13. Achieving High-Throughput Multicast Routing Based On
Rateguard In Wireless Mesh Networks

7
14. Analysis Of Contention Based Method For MAC Layer In
Wireless Networks

7

Proceedings of NCIIT 2012

Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology

S.NO. TITLE OF THE PAPER PAGE NO.

15. Channel Allocation For Uncoordinated WLANs

8
16. Cognitive Topology Control In CR-MANETs

8
17. Constructing Minimum Size Wireless Sensor Networks To
Provide Critical Square Grid Coverage Using Steiner Tree Based
Critical Grid Coverage Algorithm

9
18. Controlled Sink Mobility For Prolonging Wireless Sensor
Networks Lifetime

9
19. Cooperative Multi-Hop Transmission In Wireless Networks

10
20. Customized QoS Metric Based On Data Traffic In Wireless
Sensor Network Routing

10
21. Secure And Efficient Retrieval Of Data In Cloud Computing

11
22. Workflow Optimization For Allocation Of Jobs In Grid
Environments
11
23. Efficient Resource Selection And Load Balancing Algorithm
Based On The Scheduling Of Parallel Applications
12
24. Novel Method For Throughput A Prediction Of Network Service
And Transfer Of Data Packets
12
25. Efficient Clustering And Discovery Of Resources In Wide-Area
Distributed Computational Grids
13
26. Concert Measure Of Network I/O Workload In Virtualized
Datacenter Using Para virtualization

13
27. Classification And Evaluation Of Grid Resources Based On Grid
Tasks For Minimizing Overhead Computation Time
14
28. Grid Technology For Neuroscience 14
29. Automatic Reconfigurable System For Run-Time Application 15
30. Secured And Efficient Outsourcing Of Linear Programming In
Cloud Computing
15
Proceedings of NCIIT 2012
Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology
S.NO. TITLE OF THE PAPER PAGE NO.
31. Fairness Scheduler With Hierarchical Classification For
Resource Management In Grid Environment
16
32. A New Wireless Web Access For Web Surfing Based On Cloud
Computing
16
33. User Movement And Service Prediction Scheme For Mobile
Environment
17
34. Efficient Data Broadcasting In Underwater Wireless
Communication Networks
17
35. Efficient Data Collection Over Multitraffic Flow Using The Pass
Node Deployment
18
36. Energy Efficient On-Demand Routing Protocol For Local
Monitoring In Wireless Sensor Networks
18
37. Enhanced Medium Access Control Using Cross-Layer Link
Asymmetry Interaction For Wireless Mesh Network
19
38. Multiuser Detection And Collision Avoidance In Wireless
Network

19
39. Supporting Efficient And Scalable Multicasting Over Mobile Ad
Hoc Networks
20
40. Improving ADCC For Home Automation Networks In High
Volume Sensed Data

21
41. A Novel Approach for Network Security Using Data Mining

21
42. A Secure Authentication for Blocking Misbehaving Access using
Ticket Based Method
22
43. A Secure Key Transfer In Decentralized Secure Group
Communication By Using MDS Codes
22
44. Adaptive Audio Steganography Based On LSBMR Algorithm 23
45. An Architecture To Provide Authentication In Anonymous
Networks
23

Proceedings of NCIIT 2012

Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology

S.NO. TITLE OF THE PAPER PAGE NO.
46. An Improved Method Based On Anonymization Algorithms For
Preserving Source-Location Privacy In Wireless Sensor Network
24
47. Authentic Non Symmetric Group Key Agreement Using
Broadcast Encryption
24
48. Automotive Can Network Attacked By Security Threats 25
49. Balancing Revocation And Storage Trade-Offs In Privacy-
Preserving Universal Authentication Protocol

25
50. Blacklisting Misbehaving Users In Indistinctive Networks 26
51. Concealment Of Information In Inactive Audio Frames Of VoIP 26
52. Detection Of Malicious User In Cooperative System

27
53. Dynamic Path Selection For Secure Communication In Peer-To-
Peer Systems
27
54. Improving Security And Efficiency In Mobile IP Networks 28
55. Low Cost And Low Power Security System Based On GSM
Technology
28
56. Low-Rate DDOS Attack Detection And Modified IP Traceback 29
57. Mitigating Selective Forwarding TCP Attacks By Combining
MAITH With A Channel-Aware Approach In MANET
29
58. Restoring Network Connectivity By Securing The Topology Of
Wireless Sensor Networks From Malicious Attack
30
59. Ticket Based Security Architecture For Anonymizing And
Tracing Misbehaving Clients In Wireless Mesh Networks
30
60. Stealthy Attacks In Wireless Adhoc Networks: Detection In
Multihop Networks
31
Proceedings of NCIIT 2012
Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology
S.NO. TITLE OF THE PAPER PAGE NO.
61. Accuracy Optimization For High-Dimensional Data Using
DENCOS Clustering Algorithm

31
62. Efficient Bridging of Domain Distribution Gap using BIG
Algorithm in Transfer Learning

32
63. Document Segmentation Approaches And Techniques An
Overview

32
64. E-Mail Abstraction Scheme For Spam Detection

33
65. Automatic Segmentation Of Retinal Images By Using
Morphological Watershed And Region Growing Method

33
66. Boosting-SVM And SRM-SVM Cascade Classifiers In Face
Verification

34
67. Detection Of Video Copy Using Fingerprint Extraction

34
68. Detection of WML In Brain Images Using Geostatistical Fuzzy
Clustering

35
69. Feature Extraction Of Intraductal Breast Lesion Images Using
GMM

35
70. Furthest Nearest Neighbour Criterion Based Active Learning In
KNN And SVM Classifiers

36
71. Image Segmentation For High Spatial Resolution Using Marker
Based Watershed Algorithm

36
72. Improving Web Image Search Using GMI Method

37
73. Optimal Contrast Tone-Mapping Using Linear Programming For
Image Enhancement

37
74. Optimal Feature Region Set Selection For Robust Digital Image
Watermarking

38
75. Reversible Data Hiding Technique For Hiding Secret Data In
Video Scene

38
76. Road Detection From A Single Image Using Simulated
Annealing
39

Proceedings of NCIIT 2012

Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology

S.NO. TITLE OF THE PAPER PAGE NO.

77. The Effective Color Feature Selection And Mechanism For Face
Recognition

39
78. Vessel Tree Segmentation In Lung Images Affected By
Interstitial Lung Diseases

40
79. Handwritten Letter Recognition Using Classification Algorithms

40
80. An Approach To Motion Detection In Video Sequence

41
81. Location Monitoring Algorithms For Wireless Adhoc Networks

41
82. Modified Multimedia Architecture For Mobile Multimedia
Application

42
83. Enhancing Reliability And Lifetime Maximization In Duty
Cycled Wireless Sensor Network Based On Forwarding
Procedure

42
84. Performance Analysis And Improvement Measures For
Cognitive Radio Networks

43
85. Relay Node Placement Scheme To Increase Life Time In
Wireless Sensor Networks

43
86. Reliability And Securing Topology Maintenance Protocols For
Sensor Network

44
87. Robust Diffusion Of Video Using SUV In VANETs

44
88. Stable Channel Based Routing With Node-Path Handoff In
MANET

45
89. File Sharing In Unstructured Peer-To-Peer Network Using
Sampling Technique

45
90. Supporting Scalability And Stateless Multicasting In MANET

46
91. A Novel Approach On Greedy Maximal Scheduling Algorithm
On Embedded Networks

46
92. Location Tracking In Underwater Sensor Networks Using
Mobility Prediction By Divided Sensitive Ranges

47
Proceedings of NCIIT 2012
Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology
S.NO. TITLE OF THE PAPER PAGE NO.

93. A High-Quality Secured Shell For Location Monitoring System
In Wireless Sensor Networks

47
94. Localization Scheme For Minimizing Error In Wireless Sensor
Networks Using Monte Carlo Localization Algorithm
48
95. Latency For Vertical Handoff Decision In Heterogeneous
Networks
48
96. Secure Hybrid Range Query Framework In Tiered Sensor
Network

49
97. Secure On-Demand Multicast Routing Protocol For Wireless
Mesh Networks

49
98. Route Redirection In Unstructured Network Using Chord

50
99. Secure And Efficient Incentive Protocol For Wireless Sensor
Networks

50
100. Automated urban drinking water distribution and water theft
control

51
101. Realizing Programmable Logic Control Environment Using Arm7
Microcontroller With Wired And Wireless Communication
Capabilities To Host
51
102. Sea Waves Signal Processing Using Recurrent Neural
Networks

52
103. Design Of Multiband Microstrip Patch Antenna

52
104. Linked Data Generation Framework and Its Application

53
105. Enhancement Of Wireless Sensor Network Based On Clustering
Approach

53
106. High Dimensional Data Anonymous Publication And Updates
To Confidential Databases

54
107. Identification Of Spam Using Structure Abstraction Generation

54
108. Mining KDD Cup Database For Intrusion Detection Based On
Fuzzy Class-Association Rule Mining Using Genetic Network
Programming


55

Proceedings of NCIIT 2012

Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology

S.NO. TITLE OF THE PAPER PAGE NO.

109. Liver Cancer Classification From Gene Expression Using Swarm
Intelligence

56
110. An Efficient False Hits Reduction by Authenticated Multistep
Nearest Neighbor Search

57
111. Feature based Semantic Multi-Document Update Summary
Generation
57
112. Improving The Intrusion Detection System Using An Elegant
Adaptive Learning Technique

58
113. Web User Interference By Clustering

58
114. An Indexing Method For XML Data

59
115. Customized News Filtering and Summarization System Based on
Personal Interest

59
116. Low Power Filter Design Using Optimized Multiplexer Based
Multiplier And Adder Cell

60
117. Optimum Throughput Estimation In Multiband Multiantenna
Wireless Mesh Networks

60
118. Background Modeling and Subtraction of Dynamic Scenes

61
119. A Comparison Study Of Genetic Algorithm And Artificial
Immune System

61
120. Biometrics as an Authentication Measure

62
121. Review on Free and Open Source Software

62
122. Dynamic Bandwidth Adaptation supported Adaptive Call
Admission Control Mechanism for 3GPP: LTE Networks

63
123. An Efficient Jamming Detection in Wireless Mesh Networks

63
124. Enhancing Privacy And Reducing The Traffic Levels In
Vehicular Ad-Hoc Networks

64
125. Threat Modeling Using An Attack Surface Metric


64
Proceedings of NCIIT 2012
Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology
S.NO. TITLE OF THE PAPER PAGE NO.

126. Secure Routing Through Trusted Nodes for Mobile Adhoc
Networks

65
127. A Modified Approach For Continuous User Authentication And
Intrusion Detection In High Security Mobile Ad Hoc Networks

65
128. An Efficient Approach For Detecting Mobile Replica Node
Attack In Wireless Sensor Network

66
129. A Optimal Information Hiding Technique with Tree Based
Similarity

66
130. An Effective Minimization Of Storage Overhead For Tracking
Down The Invasion Of Replicated Nodes In Wireless Sensor
Networks

67
131. Correlation - Based Traffic Analysis Attacks On Anonymity
Networks

67
132. Quick Response (Qr) Code: A Review

68
133. Modified Multimedia Architecture For Mobile Multimedia
Application

68
134. A Novel Hybrid Approach To Detect Color Texts In Natural
Scene Images

69
135. VP8 Video Codecs for mobile applications

69
136. Image based learning to enhance the study of visual impaired
person

70
137. Efficient Iris Recognition Based Biometric Techniques For
Embedded System

70
138. Image retrieval Using multi-feature score fusion through Genetic
Algorithm

71
139. An Artificial Device To Regain Memories For Accidently
Memory Lost Persons

71
140. Intelligent Car Backup Warning System

72



Proceedings of NCIIT 2012

Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology















1
Proceedings of NCIIT 2012
Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology
A SECURE AND DEPENDABLE STORAGE WITH MULTIPLE
CLOUD SERVERS

Gomathy N,
PG Student, Computer
Science and Engineering,
Oxford Engineering
College, Trichy.
gomathynagarajan@yahoo.com
Raghav Ramana A V T
ASSO. PROF.& HOD,
Information Technology,
Oxford Engineering
College, Trichy.
avtraghavramana@gmail.com
Sampathkumar V
PROF&HOD, Computer
Science and Engineering,
Oxford Engineering
College, Trichy

Abstract

A cloud storage system, consisting of a collection of storage servers, provides long
term storage services over the Internet. Storing data in single cloud server causes Loss and
corruption of data, loss of availability. Dependable storage system, a storage cloud of-
clouds that overcomes the limitations of individual clouds by using cryptography, secret
sharing, erasure codes and the diversity that comes from using several clouds. Dependable
storage employs a secret sharing scheme and erasure codes to avoid storing clear data in the
clouds and to improve the storage efficiency, amortizing the replication factor on the cost
of the solution. The proposed model extending scheme using the asymmetric keys and
multiple cloud servers for storage.


A SURVEY: JOB SCHEDULING ALGORITHMS IN GRID
ENVIRONMENT






Abstract

Grid computing is now being used in many applications that are beyond distribution
and sharing of resources. The distributed resources are useful only if the grid resources are
scheduled. Using optimal scheduler results in high performance grid computing, where as
poor schedulers produce contrast results. Now, the grid scheduling is a big topic in grid
environment for new algorithm model. The scheduling in grid environment has to satisfy a
number of constraints of different problems. This study provides one even basis for
comparison and insights into circumstances where one technique will outperform another.
The evaluation procedure is specified, the heuristics are defined, and then comparison
results are discussed.


S.Umarani
PG Student,
SNS College of Technology,
Coimbatore
umaranisks@gmail.com

L.M.Nithya
Associate Professor,
SNS College of
Technology, Coimbatore

Dr.A.Shanmugam
Professor &
Principal, Bannari
Amman Institute of
Technology, Erode
2 Proceedings of NCIIT 2012

Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology

AN EFFICIENT AND SECURE NONLINEAR PROGRAMMING
OUTSOURCING IN CLOUD COMPUTING
M.Madhura,
PG Scholar, Department of Computer
Science and Engineering, Karpagam
University,INDIA
madhu7cs@gmail.com
R.Santosh

Assistant Professor, Department of
Computer Science and Engineering,
Karpagam University,INDIA
santhoshrd@gmail.com

Abstract

Cloud Computing provides a appropriate on-demand network access to a shared
pool of configurable computing resources which could be rapidly deployed with much
more great efficiency and with minimal overhead to management. This paper deals with the
secure outsourcing of nonlinear programming. It provides a practical mechanism design
which fulfils input/output privacy, cheating resilience, and efficiency. In the proposed
approach practical efficiency is achieved by explicit decomposition of NLP into NLP
solvers running on the cloud and private NLP parameters owned by the customer. When
compared to the general circuit representation the resulting flexibility allows exploring
appropriate security/efficiency trade-off via higher-level abstraction of NLP computations.
It is possible to construct a set of effective privacy-preserving transformation techniques for
any problem, by framing a private data possessed by the client for NLP problem as a
combination of matrices and vectors, which allow customers to transform original NLP
problem into some arbitrary value while defending sensitive input or output information.
To confirm the computational result, the fundamental duality theorem of NLP computation
should be explored and then derive the essential and adequate constraints that a accurate
result must satisfy. Such a result verification mechanism is very competent and suffers
close-to-zero extra cost on both cloud server and customers.

CACHING SCHEME FOR DISTRIBUTED DATA SHARING IN
PEER-TO-PEER ENVIROMENTS
S.Umamaheswari, H.Arthi Geetha, S.Jeevanandham
Assistant Professor,Department of Computer Science and Engineering
Akshaya college of Engineering and Technology, Coimbatore
Uma.dec3@gmail.com,arthigeetha@gmail.com
Abstract
Distributed data sharing in peer-to-peer networks is implemented in two ways: One
way is the structured peer-to-peer network which maintains regular topology and provides
efficient data sharing. The other way is unstructured peer-to-peer network which maintains
arbitrary topology and provides flexibility in peer joining and leaving. To obtain both
efficiency and flexibility, these two categories of peer-to-peer networks are combined as
hybrid peer-to-peer network. In a hybrid network, when the popular data is requested by
large number of peers, the hosting peer in multicast communication is responsible in
sending data to all those requests. Here the hosting peer reaches the state of load
overwhelming. So we divide the multicast communication group into regional subgroups
by implementing a caching scheme. Each subgroup is independently managed by a
subgroup controller (SGC) like a separate multicast group with its own subgroup key.
3
Proceedings of NCIIT 2012
Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology
ENABLING PUBLIC AUDITABILITY AND DATA DYNAMICS FOR
STORAGE SECURITY IN CLOUD COMPUTING

N.Sathya
PG Scholar, Computer Science and
Engineering, Vivekanandha College of
Engineering for Women
nsathya09@gmail.com
V.UshaRani

Lecturer in Computer Science and
Engineering, Vivekanandha College of
Engineering for Women

Abstract
Cloud Computing has been envisioned as the next-generation architecture of IT
Enterprise. It moves the application software and databases to the centralized large data
centers, where the management of the data and services may not be fully trustworthy. This
unique paradigm brings about many new security challenges, which have not been well
understood. This work studies the problem of ensuring the integrity of data storage in
Cloud Computing. In particular, we consider the task of allowing a third party auditor
(TPA), on behalf of the cloud client, to verify the integrity of the dynamic data stored in the
cloud. The introduction of TPA eliminates the involvement of the client through the
auditing of whether his data stored in the cloud are indeed intact, which can beimportant in
achieving economies of scale for Cloud Computing .The support for data dynamics via the
most general forms of data operation, such as block modification, insertion, and deletion, is
also a significant step toward practicality, since services in Cloud Computing are not
limited to archive or backup data only.

ENHANCING PERFORMANCE OF HOME NETWORK
USING MIDLLEWARE




Abstract
Cloud computing allows accessing resources across Internet transparently: requiring
no expertise in, or control over the underlying infrastructure. There is an increasing interest
in sharing media files with family and friends. As cloud computing grows rapidly and
Video-on-Demand (VoD) services become popular, it is critical and important to provide
Quality of Service (QoS) to more customers under limited resources. To address this issue,
we propose an adaptive QoS management framework for VoD cloud service centers.
However, UPnP or DLNA were not designed for media distribution beyond the boundaries
of a local network and manage media files through web applications can be tedious. To
overcome this problem, we propose Media Cloud, a middleware for Set-top boxes for
classifying, searching, and delivering media inside home network and across the cloud that
interoperates with UPnP and DLNA. We present the architecture of the service center and
then illustrate the QoS controlling process. To enhance the total revenue of the service
provider, we define optimization problem considering the charging model according to
pay-as-you-go patterns. The QoS-aware Cache Replacement algorithm is then developed
and described.
T.M.Nithya,
Student II M.E CSE ,Oxford
Engg college, Trichy-620009,
nithusiva123@gmail.com

V.Murugan,
Asst.Professor,Oxford
Engg College,
Trichy-620009,
Muruganv84@gmail.com
P.Saravanan
Lecturer,
M.Kumarasamy College of
Engineeering,
saravancse@gmail.com

4 Proceedings of NCIIT 2012

Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology

IMPROVING HIERARCHICAL LOAD BALANCED ALGORITHM
FOR JOB SCHEDULING IN A GRID ENVIRONMENT

Tharani R
Master of Engineering,
Sri Ramakrishna Engineering College,
Coimbatore.
Email:crtharani@gmail.com
Deepa K
Asst.Professor,
Department of Information Technology,
Sri Ramakrishna Engineering College,
Coimbatore.
Abstract
A grid environment collects, integrates, and uses heterogeneous or homogeneous
resources scattered around the globe by a high-speed network. A grid environment can be
classified into two types: computing grids and data grids. This paper mainly focuses on
computing grids. In computing grid, job scheduling is a very important task. A good
scheduling algorithm can assign jobs to resources efficiently and can balance the system
load. In this paper, we propose a hierarchical framework and a job scheduling algorithm
called Hierarchical Load Balanced Algorithm (HLBA) for Grid environment. In our
algorithm, we use the system load as a parameter in determining a balance threshold. And
the scheduler adapts the balance threshold dynamically when the system load changes. The
main contributions of this paper are twofold. First, the scheduling algorithm balances the
system load with an adaptive threshold and second, it minimizes the makespan of jobs.

PARALLEL SCHEDULING AND SECURITY MECHANISM FOR
HETEROGENEOUS DISTRIBUTED SYSTEMS

K.Lakshmi Raj,
Muthayammal Engineering College,
Rasipuram, Namakkal.
Abstract
High speed networks are used to connect heterogeneous systems. Different resource
levels are used in heterogeneous distributed systems. Resources are allocated for the
dependant and independent tasks. Processor and memory are shared with the nodes under
heterogeneous distributed system environment. Scheduling schemes are used for the
resource allocation process.
Heterogeneous systems are build to execute user applications on remote resources.
Processors are shared between the users. Tasks are divided into two categories. They are
dependent and independent tasks. Independent tasks can be scheduled in any sequence.
Dependent tasks can be scheduled with reference to the tasks precedence. Denial of Service
(DoS) attacks are initiated by the malicious users. Security is provided with reference to the
trust level of the resources. The current resource scheduling scheme supports single
resource allocation model. High security overhead is obtained in the current scheduling
scheme. HDS interconnection is not handled. Trust level is not optimized in the scheduling
methods
The proposed system is designed to manage resources with security. Multi
dimensional resource allocation scheme is proposed for the scheduling process.
Heterogeneous distributed systems (HDS) communication is provided in the system.
Resource allocation is performed with security level factors. The system development is
planned with JAVA front end and Oracle back end softwares.
5
Proceedings of NCIIT 2012
Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology
PERFORMANCE ANALYSIS AND OPTIMIZATION OF MULTI-
CLOUD COMPUITNG FOR LOOSLY COUPLED
MTC APPLICATIONS

K.Indira,
M.E CSE
Mohamed Sathak Engineering College,
Kilakarai.
email_id:indira777666@gmail.com
R.Karthikeyan, M.E (Ph.D),
Assist. Professor/CSE
Mohamed Sathak Engineering College,
Kilakarai.

Abstract
Cloud storage enables network online storage where data is stored on multiple
virtual servers. In order to carry out huge tasks in cloud environment, single cloud provider
is not sufficient to perform the many tasks applications and services. For Handling
Intensive task, need to have multi cloud environment to improve the cost-effectiveness of
the deployment and increase availability. Larger tasks are carried out by processing of
many tasks at a time in a cloud computing environment. In this paper, for efficient handling
of multiple tasks, need to have the performance analysis and optimization of all tasks in the
multi-cloud environment. Performance analyses consist of CPU scheduling, Memory
utilization, I/O tasks, and resource time sharing and cost benefits. Earlier system
concentrates on the deployment of multi cloud architecture and multi-processing needs
more accuracy, scalability and efficiency. In the methodology, Job allocation by front end
server and service LAN are used. This research will achieved the process of multitasking
environment in multi cloud infrastructure by having some effective tools for measuring
over all performance and optimization of multi cloud computing services.


RESUME ANALYZER WEBSITE FOR IT COMPANIES USING
CLOUD COMPUTING

K.M.Bridhashree,
(M.E), LECTURER,
brindhashree@gmail.
com
K.Aishwarya,
B.Tech(IT)
aishukrishnasamy@
gmail.com
R.TamilSelvi,
B.Tech(IT),
tamilselvi90.r@
gmail.com,
.Akilandeswari,
B.Tech (IT)
akilamathi1031
@gmail.com,
Angel College Of Engineering and Technology, Tirupur.
Abstract
In recent days in order to recruit an employee, the HR-Department officials has to
refer more than thousands of resumes personally and has to short list few of the resumes as
per the job. The officials spend lot of time on this process. To overcome this problem
LOMATCH tool was introduced. The LO-MATCH platform attempt heterogeneity issues
in the descriptions of resumes. The LO-MATCH tool is not affordable by everyone because
it is not open source. In this paper a system which offers a service similar to LO-MATCH
tool is proposed. The service relies on a cloud computing environment so as to offer SaaS
type of service. So that everyone can make use of the tool just by hiring instead of owning.

6 Proceedings of NCIIT 2012

Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology

A STUDY OF CONGESTION CONTROL ALGORITHM IN
WIRELESS SENSOR NETWORKS





Abstract

Performance of Wireless Sensor Networks (WSNs) can be affected when the
network is deployed under different topologies. Without Proper Congestion control
mechanisms, the network become highly complex. Congestion occurs due to buffer
overflow and channel contention. Congestion causes packet losses, which in turn decreases
network performance and throughput. It is important to design protocols to control
congestion. It is also important to control traffic rather than forwarding path. In this paper,
we investigate various congestion control algorithms and evaluates their characteristics.


ACCURATE TRACKING IN WIRELESS SENSOR NETWORK BY
SENSOR COLLABORATION

Ms T. Dhanalakshmi, Ms R.Mythili, Prof T. Rajendran,
PG Scholar PG Scholar HOD of CSE Department
dhanaesec@gmail.com mythilimucse@gmail.com rajendran_tm@yahoo.co.in
Angel College of Engineering and Technology, Tirupur
Abstract

Heuristic techniques enable to select an information fusion of the selected sensor
observation with the prior target location. The main objectives are to share the information
about the target accurately, to adjust the power consuming in the sensors while
transforming the information and to conserve the system resources by associating data
tracks which is simpler in distributed environment of global consistency. Mutual
information based sensor selection (MISS) algorithm is adopted to track the accurate
information collaboratively. A novel approach to energy savings is devised as information-
controlled transmission power (ICTP) adjustment in the nodes. These aspects enable
dual-space approach for both tracking and sensor resource management.
R.B.Dravida Priyaa,
ME (CCE),
SNS College of Technology,
Coimbatore.
dravidapriyaa2010@gmail.com

7
Proceedings of NCIIT 2012
Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology

ACHIEVING HIGH-THROUGHPUT MULTICAST ROUTING BASED
ON RATEGUARD IN WIRELESS MESH NETWORKS






Abstract
Recent work in multicast routing for wireless mesh networks has focused on metrics
that estimate link quality to maximize throughput. Nodes must collaborate in order to
compute the path metric and forward data. The assumption that all nodes are honest and
behave correctly during metric computation, propagation, and aggregation, as well as
during data forwarding, leads to unexpected consequences in adversarial networks where
compromised nodes act maliciously. In this work, novel attacks against high throughput
multicast protocols in wireless mesh networks are identified. The attacks exploit the local
estimation and global aggregation of the metric to allow attackers to attract a large amount
of traffic. Here these attacks are very effective against multicast protocols based on high-
throughput metrics. Aggressive path selection is a double-edged sword: While it maximizes
throughput, it also increases attack effectiveness in the absence of defense mechanisms. it
from the network.

ANALYSIS OF CONTENTION BASED METHOD FOR MAC LAYER
IN WIRELESS NETWORKS






Abstract
Quality of Service (QoS) is the ability to guarantee a certain level of performance to
a data flow ie., guaranteeing required bit rate, delay, etc. IEEE 802.11 a/b/g networks do
not provide QoS differentiation among multimedia traffic. QoS provisioning is one of the
essential features in IEEE 802.11e. It uses Enhancement Distributed Channel Access
(EDCA) which is a contention-based channel access mode to provide QoS differentiation.
EDCA works with four Access Categories (AC). Differentiation of Access Categories are
achieved by differentiating the Arbitration Inter-Frame Space (AIFS), the initial contention
window size (CWmin), the maximum contention window size (CWmax) and the
transmission opportunity (TXOP).However AIFS, CWmin, CWmax are considered to be
fixed for a given AC, while TXOP may be varied. A TXOP is a time period when a station
has the right to initiate transmissions onto the wireless medium. By varying the TXOP
value among the ACs the QoS optimization- throughput stability
Anu Manohar ,
II Yr ME CSE
Department of Computer Science and Engineering ,
M.Kumarasamy college of Engineering
Thalavapalayam,Karur-639 113,Tamil Nadu,India
anumanu45@gmail.com
V.R.Azhaguramyaa
PG Student,
Sri Krishna College of
Technology,
vrazhaguramyaa@gmail.co

S.J.K.Jagadeesh Kumar
Professor & Head, Sri
Krishna College of
Technology, Coimbatore
jagadeesh_sk@rediffmail.co
P.Parthasarathi
Asst. Professor, Sri Krishna
College of Technology,
Coimbatore
sarathi.pp@gmail.com

8 Proceedings of NCIIT 2012

Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology


CHANNEL ALLOCATION FOR UNCOORDINATED WLANS




Abstract
Uncoordinated WLANs are small in size, independently owned and managed, and
deployed in areas where access points density may vary greatly. Traditional wireless LANs
make use of knowledgeable network administrators for centralized decisions on channel
selection, whereas in uncoordinated WLANs access points are often deployed by network
non specialists in an uncoordinated manner, leading to unplanned topologies, interference
and unsatisfactory throughput performance. In the existing system, a distributed channel
assignment algorithm for uncoordinated WLANs termed CACAO (Client-Assisted Channel
Assignment Optimization) is used for channel assignment. It uses the clients feedback
traffic information such as number of neighbors in the channel, channel traffic load for
better channel assignment. Using the client feedback, AP calculates the interference and
switch over to less interference channel. The proposed work is to modify the existing
CACAO algorithm by varying the way of calculating interference. Clients send the signal
strength of each channel to access points. The interference in channel is found by using
signal strength. Access point and its associated clients with high interference will switch
over to less interference channel.


COGNITIVE TOPOLOGY CONTROL IN CR-MANETS





Abstract
Energy and topology are limited resources in manets, Topology control reduces the
energy consumption of a node by reducing the number of links in a topology thereby
reducing initial topology of the network. Cognitive radio networks provide dynamic
spectrum allocation to cognitive users when primary users are inactive. In this paper
prediction based cognitive topology control (PCTC algorithm) is used such that topology
control technique is used to induce cognition in routing in CR-MANETS (Cognitive Radio
Mobile Ad Hoc Networks) based on link availability prediction. In this paper topology
control is performed on a cognitive radio network using AODV protocol with prediction
and without prediction. Simulation results shows that AODV routing protocol with
prediction perform better than AODV without prediction.
A.S.Renugadevi
M.E Computer and Communication
Engineering
Department of information Technology
Kongu Engineering College,Perundurai
Erode Dt,TamilNadu,India
Email:renugame@gmail.com
R.Devipriya
Assistant Professor
Department of Information Technology
Kongu Engineering College,Perundurai
Erode Dt,TamilNadu,India.
Email: rdevipriya@kongu.ac.in
Chandni
II ME (C.C.E) / Information
Technology
Kongu Engineering College
Perundurai. Erode Dt., India
chandni2289@gmail.com
Suresh.P
Assistant Professor/Information
Technology
Kongu Engineering College
Perundurai. Erode Dt., India
psuresh@kongu.ac.in
9
Proceedings of NCIIT 2012
Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology
CONSTRUCTING MINIMUM SIZE WIRELESS SENSOR
NETWORKS TO PROVIDE CRITICAL SQUARE GRID COVERAGE
USING STEINER TREE BASED CRITICAL GRID COVERAGE
ALGORITHM






Abstract
Wireless sensor network is used in wide range of application, since it has the ability
to collect, process and store information as well as to communicate with others. Such
connected networks have been applied extensively in military and civilian applications. In
certain application, the large sensor field is often distinguished into critical and common
areas. It is advisory to deploy the sensors efficiently in the critical areas compared to
common areas. Thus the connected wireless sensor network is formed by deploying
minimum number of sensors in the critical grid points. In this paper, we propose a Steiner
tree based algorithm to provide coverage of the critical grids. A good solution for the
proposed algorithm is obtained from the simulation results.

CONTROLLED SINK MOBILITY FOR PROLONGING WIRELESS
SENSOR NETWORKS LIFETIME






Abstract
Data delivery latency often increases due to the speed limit of mobile sink. Mostly
mobility is used to exploit the problem of data collection in Wireless Sensor Networks
(WSNs). WSN with MS (Mobile Sink) and provides a comprehensive taxonomy of their
architectures, based on the role of the MS. The overview of the data collection process
identifies the corresponding issues and challenges. On the basis of these issues, a protocol
named Energy Efficient Data Collection (EEDC) is used. Path selection problem in delay-
guaranteed sensor networks with a path-constrained mobile sink is focused. EEDC efficient
data collection scheme, which simultaneously improves the total amount of data and
reduces the energy consumption. The optimal path is chosen to meet the requirement on
delay as well as minimize the energy consumption of entire network. Predictable sink
mobility is exploited to improve energy efficiency of sensor networks. Simulation
experiments based on GLOMOSIM is conducted to validate the effectiveness of the
presented formulations and algorithms.
Dr.S.Uma Maheswari
Electronics and communication
Engineering
Coimbatore Institute of
Technology
umamaheswari@cit.edu.in

P.Nithyakalyani
Electronics and communication
Engineering
Coimbatore Institute of
Technology
Coimbatore, India.
nithyasct@gmail.com
T.Sudha
PG Scholar,
Computer Science and Engineering,
Muthayammal Engineering College
sudhaoormi@gmail.com
Prof.M.Sayee Kumar
Assistant Professor,
Computer Science and
Engineering,
Muthayammal Engineering College
Sayee.academic@gmail.com

10 Proceedings of NCIIT 2012

Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology

COOPERATIVE MULTI-HOP TRANSMISSION IN WIRELESS
NETWORKS





Abstract
We evaluate the performance of cooperative transmission, where nodes in a sending
cluster are synchronized to communicate a packet to nodes in a receiving cluster. In our
communication model, the power of the received signal at each node of the receiving
cluster is a sum of the powers of the transmitted independent signals of the nodes in the
sending cluster. The increased power of the received signal, vis--vis the traditional single-
node-to-single-node communication, leads to overall saving in network energy and to end-
to-end robustness to data loss. We propose an energy-efficient cooperative protocol, and we
analyze the robustness of the protocol to data packet loss. When the nodes are placed on a
grid, it reduces the probability of failure to deliver a packet to destination. In Energy
Efficient Protocol for Cooperative networks, transmitting and receiving nodes recruit
neighboring nodes to assist in communication. We model a cooperative transmission link in
wireless networks as a transmitter cluster and a receiver cluster.Up to 80% in energy
savings can be achieved for a grid topology, while for random node placement our
cooperative protocol can save up to 40% in energy consumption relative to the other
protocols. The reduction in error rate and the energy savings translate into increased
lifetime of cooperative sensor networks.

CUSTOMIZED QOS METRIC BASED ON DATA TRAFFIC IN WIRELESS
SENSOR NETWORK ROUTING





Abstract
Wireless Sensor Networks (WSN) with best effort quality of service (QoS) have
recently attracted a lot of attention as effective platforms for pervasive computing. The QoS
requirements are efficient usage of energy, latency and reliability. So the routing protocol
based on QoS requirement is proposed. So the routing protocol based on QoS requirement
is proposed. This modular approach protocol aims in ensuring the required QoS. In this
approach, a separate module is dedicatively made for QoS classification. A new Localized
quality of service routing protocol attempts to fulfill the required data-related quality of
service metrics with each packet while considering the power efficiency. Queuing module
takes strategy of prioritizing the packet. The QoS requirement is based on data traffic and
also considering the efficient energy usage. The metric considered here for QoS
classification are reliability, transmission energy, residual energy and delay. Based on this
metric, traffic is classified as several categories and queued. Depending on this classified
traffic, sufficient QoS is provided.
V.Yuvaraj
PG Scholor,
Department of Computer Science and
Engineering,
The Kavery Engineering College, Mecheri, Salem,
India.
sendtoyuva86@gmail.com
P.Sathishkumar
HOD,
Department of Computer Science and
Engineering,
The Kavery Engineering College, Mecheri,
Salem, India.

V.Jeya Priya
II year M.E-Communication Systems
Anna University of Technology Madurai
priyajeya@ymail.com
R.Arun Prasath
Assistant Professor-ECE Department
Anna University of Technology Madurai
prasta prasath2k6@gmail.com


11
Proceedings of NCIIT 2012
Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology

WORKFLOW OPTIMIZATION FOR ALLOCATION OF JOBS IN
GRID ENVIRONMENTS

K.Nithiya ,ME(CSE) II YEAR
St.Michael college of
engineering and technology,
kalaiyarkoil.
k.nithyaramya.nithya@gmail.com

Abstract
Grid scheduling is essential to Quality of Service provisioning as well as to efficient
management of grid resources. Grid scheduling usually considers the state of the grid
resources as well application demands. However, such demands are generally unknown for
highly demanding applications, since these often generate data which will be transferred
during their execution. Without appropriate assessment of these demands, scheduling
decisions can lead to poor performance. This paper introduces the IPDT-FUZZY scheduler,
a scheduler which considers the demands of grid applications with such uncertainties. The
scheduler uses fuzzy optimization and both computational and communication demands are
expressed as fuzzy numbers. Its performance was evaluated, and it was shown to be
attractive when communication requirements are uncertain.


SECURE AND EFFICIENT RETRIEVAL OF DATA IN CLOUD
COMPUTING
M.Mythili,
Department of IT.
Angel College of Engineering
and Technology, Tirupur.

Abstract
Cloud Computing has been envisioned as the next-generation architecture of IT
Enterprise.It moves the application software and databases to the centralized large data
centers, where the management of the data and services may not be fully trustworthy.
Cloud computing provides cheap and efficient solutions for storing and analyzing mass
data. Firstly, cloud computing, Map Reduce programming model and hash table are
introduced. This paper proposes a method for retrieving efficient data in cloud
environment. This work studies the problem of ensuring the integrity of data storage in
Cloud Computing. In particular, we consider the task of allowing a third party auditor
(TPA), on behalf of the cloud client, to verify the integrity of the dynamic data stored in the
cloud. The introduction of TPA eliminates the involvement of the client through the
auditing of whether his data stored in the cloud are indeed intact, which can be important in
achieving economies of scale for Cloud Computing. The support for data dynamics via the
most general forms of data operation, such as block modification, insertion, and deletion, is
also a significant step toward practicality, since services in Cloud Computing are not
A.Saranyadevi,
Department of IT,
Angel College of Engineering and
Technology,Tirupur.

A.Suresh ME,MBA,
St.Michael college of
engineering and technology,
kalaiyarkoil.

12 Proceedings of NCIIT 2012

Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology

limited to archive or backup data only. While prior works on ensuring remote data integrity
often lacks the support of either dynamic data operations, this paper achieves both. We first
identify the difficulties and potential security problems of direct extensions with fully
dynamic data updates from prior works and then show how to construct an elegant
verification scheme for the seamless integration of these two salient features. In particular,
to achieve efficient data dynamics, we improve the existing proof of storage models by
manipulating the classic Merkle Hash Tree construction for block tag authentication. To
support efficient handling of multiple auditing tasks, we further explore the technique of
bilinear aggregate signature to extend our main result into a multiuser setting, where TPA
can perform multiple auditing tasks simultaneously. Extensive security and performance
analysis show that the proposed schemes are highly efficient and provably secure.

NOVEL METHOD FOR THROUGHPUT A PREDICTION OF
NETWORK SERVICE AND TRANSFER OF DATA PACKETS

Sangeetha. P R.Kanagaraj, M.E,
PG scholar Assist .Professor
geethu.shiny@gmail.com Dept of Software Engg

Abstract
Data Communication using Many task Computing Environment in a widely
Distributed Environment service uses multiple parallel TCP streams to improve the end-to-
end throughput of data transfers. It is developed to determine the number of parallel
streams, required to achieve the best network performance. Prediction points can be
obtained using Iperf and Grid FTP samplings inter cluster protocols, aggregating traffic
for high-speed encoding and using a new forward error correction scheme to handle bursty
loss.

EFFICIENT RESOURCE SELECTION AND LOAD BALANCING
ALGORITHM BASED ON THE SCHEDULING OF PARALLEL
APPLICATIONS
G.K. Kamalam,
Assistant Proffesor/CSE
Kongu Engineering College,
Erode, India.

Abstract
Scheduling of jobs to the distributed heterogeneous resources in grid is a complicated
problem.The goal of scheduling is to achieve highest possible system throughput and to match
the application need with the available computing resources. In grid computing system, when
all jobs are assigned to the same resource leads to the high work load for the resource and the
computational time of the processed jobs is also high. Load balancing is a methodology
involving the linear and continuous modeling of partitionable computation and communication
loads for parallel processing. The ULS maintains the user-level resource pool, enables resource
selection and controls the execution. WLB-based scheduling, evaluate dynamic resource pool
and resource selection mechanisms, and examine dependencies of application performance on
aggregate characteristics of selected resources and application profile.
M.Sarmila,
PG Scholor, Dept of CSE
Kongu Engineering College,
Erode, India.
sarmilatsms@gmail.com


13
Proceedings of NCIIT 2012
Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology
EFFICIENT CLUSTERING AND DISCOVERY OF RESOURCES IN
WIDE-AREA DISTRIBUTED COMPUTATIONAL GRIDS
R.Nithya, ME CSE,
Kongu Engineering College,
Erode, Tamil Nadu, India
Email: rnithyame@gmail.com

Abstract
In large-scale computational Grids, discovery of heterogeneous resources as a working
group is crucial to achieving scalable performance. In the existing system, resource
management scheme, hierarchical cycloid overlay architecture, resource clustering and
discovery algorithms for wide-area distributed Grid systems are designed. Program/data
locality is established by clustering resources based on their physical proximity and
functional matching with user applications. Dynamism resilient resource management
algorithm, cluster-token forwarding algorithm and deadline-driven resource management
algorithms are developed for comparing favorably with other resource discovery methods
in static and dynamic Grid applications. The proposed work is to extend the HCO model to
secure and safeguard the Grid applications by applying virtual machine techniques and also
it focus on integrating peer-to-peer and grid technologies with machine virtualization
techniques for global scale internet applications.

CONCERT MEASURE OF NETWORK I/O WORKLOAD IN
VIRTUALIZED DATACENTER USING PARAVIRTUALIZATION
Rajesh .M,
II Year M.E,
Department of Computer Science
and Engineering,
Kongu Engineering College,
Anna University Tamil Nadu,
Email: goldmraja@gmail.com

Abstract
Cloud computing [10] is gaining popularity as its the way to virtualize the
datacenter and increase flexibility in the use of computation resources. This virtual machine
approach can dramatically improve the efficiency, power utilization and availability of
costly hardware resources, such as CPU and memory. Virtualization in datacenter had been
done in the back end of Eucalyptus software and Front end was installed on another CPU.
The operation of performance measurement had been done in network I/O applications
environment of virtualized cloud. Then measurement was analyzed based on performance
impact of co-locating applications in a virtualized cloud in terms of throughput and
resource sharing effectiveness, including the impact of idle instances on applications that
are running concurrently on the same physical host. This project proposes the virtualization
technology which uses the hypervisor to install the Eucalyptus software in single physical
machine for setting up a cloud computing environment.

Geetha M
Assistant Professor,
Department of Computer Science and
Engineering,
Kongu Engineering College,
Anna University Tamil Nadu, India.
E-mail:geetha @kongu.ac.in

Mr.N.Krishnamoorthy,
Assistant Professor, CSE, Kongu
Engineering College, Erode, Tamil
Nadu, India.
Email:nmoorthy@kongu.ac.in

14 Proceedings of NCIIT 2012

Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology

CLASSIFICATION AND EVALUATION OF GRID RESOURCES
BASED ON GRID TASKS FOR MINIMIZING OVERHEAD
COMPUTATION TIME
K.Kayalvizhi
PG Student, CSE,
Kongu Engineering College,
Erode, Tamil Nadu, India
Email: kkayalvizhi@gmail.com

Abstract
Grid computing aggregates heterogeneous resources distributed across Internet,
regardless of differences between resources such as platform, hardware, software,
architecture, language, and geographical location. Resource allocation and job scheduling
are the core functions of grid computing. These functions are based on adequate
information of available resources. Timely acquiring resource status information is of great
importance in ensuring overall performance of grid computing. Grid resource monitoring
and grid resource prediction mechanisms are used for acquiring information of grid
resources. A distributed system architecture is designed which includes the key issues for
system implementation, including machine learning based methodologies for modelling
and optimization of resources. The proposed system focus on classification and evaluation
of grid resources.

GRID TECHNOLOGY FOR NEUROSCIENCE

Jayabharathi.P,G.Rubia,
Research scholar
Karpagam University, Coimbatore
kavibharati20@gmail.com

Abstract
A parallel processing architecture in which CPU resources are shared across a
network, and all machines function as one large supercomputer. It allows unused CPU
capacity in all participating machines to be allocated to one application that is extremely
computationintensive and programmed for parallel processing. Grid computing evolved
from the parallel processing systems of the 1970s, the large-scale cluster computing
systems of the 1980s, and the distributed processing systems of the 1990s, and is often
referred to by these names.In this paper we present the overview of Brain Analysis Using
Grid Computing.






S.Kuppuswami,
Principal,
Kongu Engineering College,
Erode, Tamil Nadu, India
Email: skswami@kongu.ac.in

Mrs.Agnes Kalarani,
Professor
Karpagam University, Coimbatore
agneskalarani@yahoo.co.in

15
Proceedings of NCIIT 2012
Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology
AUTOMATIC RECONFIGURABLE SYSTEM FOR RUN-TIME
APPLICATION
S.Inayathulla
2nd year ME.,
Sudharsan Engineering College,
Pudukkottai
Email id: inayathfifa@gmail.com

Abstract
New generation embedded systems demand high performance, efficiency, and
flexibility. Reconfigurable hardware can provide all these features. However, the costly
reconfiguration process and the lack of management support have prevented a broader use
of these resources. To solve these issues we have developed a scheduler that deals with
task-graphs at run-time, steering its execution in the reconfigurable resources while
carrying out both prefetch and replacement techniques that cooperate to hide most of the
reconfiguration delays. In our scheduling environment, task-graphs are analyzed at design-
time to extract useful information. This information is used at run-time to obtain near-
optimal schedules, escaping from local-optimum decisions, while only carrying out simple
computations.

SECURED AND EFFICIENT OUTSOURCING OF LINEAR
PROGRAMMING IN CLOUD COMPUTING






Abstract
Cloud computing is delivery of computing in form of service rather than product. It
enables customers with limited computational resources to outsource their large
computation workloads to the cloud. Economically it provides massive computational
power, bandwidth, storage, and even appropriate software that can be shared in a pay-per-
use manner. Even though it provides tremendous benefits, security is the main concern for
computing customers confidential data over the cloud. Mechanisms have to be designed
for protecting data and also the malicious behavior of computations in cloud. Fully
homomorphic encryption was a technique used for encrypting data for computational
outsourcing. This was represented by combinational Boolean circuit that was evaluated
with encrypted private inputs. Due to high complexity and circuit sizes it was not easy for
applying in practical. So, to provide higher level of abstraction, linear programming
concept was designed. it decomposes the LP computation outsourcing into public LP
solvers running on the cloud and private LP parameters owned by the customer. As a result
the security and effiency were improved over the general circuit representation.

Mr.T.Kapilachander M.E.,
Assistant professor,
ECE Department,
Sudharsan Engineering,
College,Pudukkottai.

Vijayalakshmi M
PG Student, Department of CSE,
Oxford Engineering College
mm.vijayalakshmi@ymail.com
Murugan V
Senior Lecturer, Department
of IT, Oxford Engineering
College
muruganv@gmail.com
16 Proceedings of NCIIT 2012

Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology

FAIRNESS SCHEDULAR WITH HIERARCHICAL
CLASSIFICATION FOR RESOURCE MANAGEMENT IN GRID
ENVIRONMENT





Absract
Resource management is a vital task of grid computing environment. It is the
responsibility of grid system to ensure that all applications/clients/tasks requesting for
resources are getting resources in a timely manner. Various recourse allocation strategies
are there which provide guidance for grid systems to make resource allocation decisions.
The detail paper will describes various Proportional share schedulers with O(1) overhead
for resource management in grid environment. The fair share scheduler(s) and Hierarchical
Classification ensure that resources are allocated to in an efficient manner and this ensures
fairness in resource allocation.

A NEW WIRELESS WEB ACCESS FOR WEB SURFING BASED ON
CLOUD COMPUTING






Abstract
The growing popularity of wireless networks has ead to cases of heavy utilization of
wireless networks; the wireless portion of the network is a major performance bottleneck.
Understanding the behavior of the wireless portion of such networks is critical to ensure
their robust operation. This understanding can also help optimize network performance.
This paper deals about Wireless network refers to computer network associated with a
cloud computing whose interconnections between nodes are implemented without the use
of wires (e.g., Mobile web) and how is accessed. Wireless operations permits services, such
as long range communications, that are impossible or impractical to implement with the use
of wires. Here the Mobile Web refers to the use of Internet-connected applications, or
browser-based access to the Internet from a mobile device, such as a Smartphone or tablet
computer, connected to a wireless network.




P.Dhivya
M.E Computer Science and
Engineering, SNS College of Technology,
Coimbatore
M.Sukanya
M.E Software Engineering
SNS College of Technology,
Coimbatore

Rajeshwari.P
PG scholar
Angel College of Engineering &
Technology
rajiponraj@gmail.com


Padmavathi.S
PG scholar
Angel College of Engineering &
Technology
padmaspretty@gmail.com


17
Proceedings of NCIIT 2012
Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology
USER MOVEMENT AND SERVICE PREDICTION SCHEME FOR
MOBILE ENVIRONMENT




Abstract
Spatial data mining techniques are used to mine data values with location
information. Temporal analysis is applied to perform time analysis. Location and time
based analysis is applied on a variety of mobile service analysis application. Different
services are provided under the mobile environment. User behavior analysis is carried out
using the sequential pattern mining methods. Location and time factors are used in the
sequential pattern mining methods. Clustering techniques are used to group up the
transactions based on the transaction relevancy.Most of existing techniques focus on
discovering mobile patterns from the whole logs. However, this kind of patterns may not be
precise enough for predictions since the differentiated mobile behaviors among users and
temporal periods are not considered. Cluster-based Temporal Mobile Sequential Pattern
Mine (CTMSP-Mine) is used to discover the Cluster-based Temporal Mobile Sequential
Patterns (CTMSPs). A prediction strategy is proposed to predict the subsequent mobile
behaviors. In CTMSP-Mine, user clusters are constructed by Cluster-Object-based Smart
Cluster Affinity Search Technique (CO-Smart-CAST). The similarities between users are
evaluated by the Location-Based Service Alignment (LBS-Alignment). A time
segmentation approach is presented to find segmenting time intervals where similar mobile
characteristics exist. The CTMSP mine model is enhanced with hybrid prediction model
(HPM) and recursive motion functions (RMF) scheme to improve the pattern identification
and prediction accuracy levels. The system development is planned with Java language and
Oracle database.

EFFICIENT DATA BROADCASTING IN UNDERWATER WIRELESS
COMMUNICATION NETWORKS
R.Navitha
PG Scholar,
Department of CSE,
Kongu Engineering College, Erode, Tamil Nadu, India
Email: navithacs06@gmail.com
Abstract
Underwater wireless communications can enable many scientific, environmental,
commercial, safety, and military applications. The design of routing protocols for
Underwater Wireless Sensor Networks (UWSNs) poses many challenges due to the
intrinsic properties of underwater environments. This paper proposes an efficient adaptive
depth-based routing protocol (DBR) for disseminating the data items in the network. DBR
does not require full-dimensional location information of sensor nodes. Instead, it needs
only local depth information of every sensor node in order to forward the data packets. The
main advantage of DBR protocol is that it can handle network dynamics efficiently without
the assistance of a localization service and also it achieves higher packet delivery ratio in
dense networks.
C.Kavitha,
Sengunthar Engineering College,
Tiruchengode.
Kavithajan12@gmail.com
M.Sakthivel., M.E., (Ph.D).,
Sengunthar Engineering College,
Tiruchengode.


18 Proceedings of NCIIT 2012

Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology

EFFICIENT DATA COLLECTION OVER MULTITAFFIC FLOW
USING THE PASS NODE DEPLOYMENT
S.SARIGA,
PG Scholar, Mount Zion College
of Engineering and
Technology,Lenevilaku
Email: sarigavasanbtech@gmail.com
Vivian Rachel jayson,
Assistant Professor, Mount Zion
College of Engineering and
Technology,Lenevilaku
Email:
vivian.r.jayson@gmail.com@.com

Abstract
In a heterogeneous wireless sensor network (WSN), relay nodes (RNs) are adopted
to relay data packets from sensor nodes (SNs) to the base station (BS). The deployment of
the RNs can have a significant impact on connectivity and lifetime of a WSN system. This
paper studies the effects of random deployment strategies. We first discuss the biased
energy consumption rate problem associated with uniform random deployment. This
problem leads to insufficient energy utilization and shortened network lifetime. To
overcome this problem, we propose two new random deployment strategies, namely, the
lifetime-oriented deployment and hybrid deployment. The former solely aims at balancing
the energy consumption rates of RNs across the network, thus extending the system
lifetime. However, this deployment scheme may not provide sufficient connectivity to SNs
when the given number of RNs is relatively small. The latter reconciles the concerns of
connectivity and lifetime extension. Both single-hop and multihop communication models
are considered in this paper. With a combination of theoretical analysis and simulated
evaluation, this study explores the trade-off between connectivity and lifetime extension in
the problem of RN deployment. It also provides a guideline for efficient deployment of
RNs in a large-scale heterogeneous WSN.

ENERGY EFFICIENT ON-DEMAND ROUTING PROTOCOL FOR
LOCAL MONITORING IN WIRELESS SENSOR NETWORKS

P.Kavitha
PG Scholar, Computer Science and
Engineering, Muthayammal Engineering
College
Pkavi89@gmail.com
Prof.M.Sayee Kumar
Assistant Professor, Computer Science
and Engineering, Muthayammal
Engineering College
Sayee.academic@gmail.com

Abstract
` Sleep-wake protocols are critical in sensor networks to ensure long-lived operation.
However, an open problem is how to develop efficient mechanisms that can be
incorporated with sleep-wake protocols to ensure both long lived operation and a high
degree of security. Our contribution in this paper is to address this problem by using local
monitoring, a powerful technique for detecting and mitigating control and data attacks in
sensor networks. In local monitoring, each node oversees part of the traffic going in and out
of its neighbors to determine if the behavior is suspicious, such as, unusually long delay in
forwarding a packet.
19
Proceedings of NCIIT 2012
Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology
ENHANCED MEDIUM ACCESS CONTROL USING CROSS-LAYER
LINK ASYMMETRY INTERACTION FOR WIRELESS MESH
NETWORK
S.Priya
M.E- Computer Science & Engineering
Muthayammal Engineering College
Namakkal- 637 408
India
Email:priyacses@gmail.com
D.Dhivya
Lecturer Computer Science &
Engineering
Narasus Sarathy Institute of Technology
Salem
India
Email:maildhivya@gmail.com

Abstract
In wireless mesh network, the cross-layer approach eliminates the link asymmetry
problem that occurs due to heterogeneous transmission range. However in transport layer,
network events such as channel noise, mobility and congestion deteriorates the quality of an
existing end-to-end TCP connection performance. A two new mechanisms namely, the
TCP Fractional Window Increment scheme and the ROute-failure notification using BUlk-
losS Trigger (ROBUST) policy are designed to address the problem in TCP connection.
The TCP Fractional Window Increment scheme is a preventive solution used to reduce the
congestion-driven wireless link loss. The ROBUST policy is a corrective solution that
enables on-demand routing protocols to suppress overreactions induced by the aggressive
TCP behavior. This approach improves the performance and throughput of Wireless Mesh
Network. Simulation results can be performed to determine the performance of the
network.

MULTIUSER DETECTION AND COLLISION AVOIDNESS IN
WIRELESS NETWORK
S.Arunkumar,
M.E. Network Engineering,
Vel Tech Multi Tech Dr.RR Dr.SR
Engineering College.
Email: arun.naf@gmail.com.
Y.Kallifulla,
Assistant Professor,
Department of Information Technology,
Vel Tech Multi Tech Dr.RR Dr.SR
Engineering College.
Abstract
Combating collision is one of the major challenges in the design of the MAC
algorithm for wireless network. To overcome this problem, proposing new MIMO/MPR-
aware cross layer MAC/PHY design. That is capable of combating collision through the use
of a multiple packet reception technique. Recent advances in MIMO communication have
provided the possibility of simple detection of colliding packets. Analytical and simulation
result show that proposed MAC design can considerably improve the throughput of a
WLAN operating over lossy links. Exploit the multi-packet reception (MPR) do the
increase the order capacity of random wireless network.MPR provides a better capacity
improvement for wireless network. The use of MIMO in PHY point-to-point as well as
multiuser communication has been extensively studied in the recent literature. The
proposed analysis applies both packet transmission schemes employed by DCF, namely,
the basic access and the RTS/CTS access mechanism.
20 Proceedings of NCIIT 2012

Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology

SUPPORTING EFFICIENT AND SCALABLE MULTICASTING
OVER MOBILE AD HOC NETWORKS

F.AngelIgnishyaa,[II-ME]
Department of Computer Science and Engineering,

M.Kumarasamy college of Engineering
Thalavapalayam, Karur (Dt.), Tamil Nadu, India.
ignishyaa@gmail.com


Abstract

Group communications are important in Mobile Ad hoc Networks (MANETs).
Multicast is an efficient method for implementing group communications. However, it is
challenging to implement efficient and scalable multicast in MANET due to the difficulty
in group membership management and multicast packet forwarding over a dynamic
topology. I propose a novel Efficient Geographic Multicast Protocol (EGMP). EGMP uses
a virtual-zone-based structure to implement scalable and efficient group membership
management. A network wide zone-based bidirectional tree is constructed to achieve more
efficient membership management and multicast delivery. The position information is used
to guide the zone structure building, multicast tree construction, and multicast packet
forwarding, which efficiently reduces the overhead for route searching and tree structure
maintenance. Several strategies have been proposed to further improve the efficiency of the
protocol, for example, introducing the concept of zone depth for building an optimal tree
structure and integrating the location search of group members with the hierarchical group
membership management. Finally, I design a scheme to handle empty zone problem faced
by most routing protocols using a zone structure. The scalability and the efficiency of
EGMP are evaluated through simulations and quantitative analysis. My simulation results
demonstrate that EGMP has high packet delivery ratio, and low control overhead and
multicast group joining delay under all test scenarios, and is scalable to both group size and
network size. Compared to Scalable Position-Based Multicast (SPBM), EGMP has
significantly lower control overhead, data transmission overhead, and multicast group
joining delay.











21
Proceedings of NCIIT 2012
Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology
IMPROVING ADCC FOR HOME AUTOMATION NETWORKS IN
HIGH VOLUME SENSED DATA






Abstract
A wireless sensor network (WSN) consists of spatially distributed autonomous
sensors to monitor physical or environmental conditions, such as temperature, sound,
vibration, pressure, motion or pollutants and to cooperatively pass their data through the
network to a main location.There is a growing interest in the wireless sensor network
technology in the home automation field, but as the number of sensor nodes in the home
increases and as the data traffic generated by such nodes grows, the network becomes more
congested. Due to resource constraints, a congestion control scheme for wireless sensor
network is designed with simplicity and energy efficiently. In existing system, ADCC
(Adaptive Duty-cycle Based Congestion Control), a lightweight congestion control scheme
using duty-cycle adjustment for wireless sensor networks was used. This scheme uses both
the resource control and traffic control approaches according to the amount of network
traffic for the congestion avoidance. The proposed work improves energy efficiency with
congestion control scheme implemented for Home Automation Network (HAN) with
wireless sensor network (WSN). The Improvement is made on Adaptive Duty-cycle Based
Congestion Control (ADCC) scheme. The deployment of Improved ADCC involves the
aggregation of incoming traffic and nodes channel capacity variation.

A NOVEL APPROACH FOR NETWORK SECURITY USING DATA
MINING
M.M Gowthul Alam
1

Assistant professor
National College of Engineering,
Maruthakulam, Tirunelveli.
alam_mpm@yahoo.com
P.Rama Subramanian
2
P.G student
National College of Engineering,
Maruthakulam, Tirunelveli
bagaram24@gmail.com

Abstract

Data mining is the process of automatically searching large volumes of data for patterns.
The Network Security System has been developed to impart security to the files accessed
by the users logging into a secured network. The System determines whether the user is an
authorized user of the network. The users are validated using their login id, password and
secret codes. If the user login is valid then they are given access to view the files according
to their category classification. If the user is an intruder then an alert message is displayed.
The System determines all the intruders using Decision tree algorithm which is one of type
of Data mining algorithm.
A.M.NATARAJAN
Professor & Chief
Executive, Bannari Amman
Institute of Technology,
Sathyamangalam, Erode

N.PREMALATHA,
Assistant Professor,
Department of CSE, Kongu
Engineering College, Erode,
premalathan@gmail.com

J.YASODHA,
PG Student, CSE, Kongu
Engineering College,
Erode,
yasoramyabe@gmail.com


22 Proceedings of NCIIT 2012

Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology

A SECURE AUTHENTICATION FOR BLOCKING MISBEHAVING
ACCESS USING TICKET BASED METHOD

Jackulin.C ,
PG Scholar, Mount Zion College of
Engineering and Technology,lenevilaku
Email: jackulin_chin@yahoo.co.in
D.Elavarasi M.E
Assistant Professor, Mount Zion
College of Engineering and Technology,
lenevilaku

Abstract

The main purpose of Ticket based method is to make a credential system authentication
for the users who are misbehave with the anonymous networks. These anonymous systems
helps user to hide their ip from the server, so server cant find the clients who are doing the
defacing. And generally the most of the abuser acts in the server with these anonymous
network helps. During this kind of problem the server will denial the whole access of the
particular route, because of this the users which are properly communicate by the route may
affect. When the server blocks the whole route it will purely reflect on the other users.
Ticket based system makes an authentication for the defacing users. It will get a blacklist
from the server and check every user with it by the help of pseudonym manager[6]. The
black list of the server will helps to restrict the users of anonymous network. If the user
misbehaves the pseudonyms will added into the blacklist, this will further helps to nymble
manager to block the users from route. This system ensures that users are aware of their
blacklist status before they present a nymble, and disconnect immediately if they are
blacklisted.

A SECURE KEY TRANSFER IN DECENTRALIZED SECURE
GROUP COMMUNICATION BY USING MDS CODES

T.Sangeetha ,R.B Dravidaa priyaa Mr.V.Jeyakrishnan
M.E Computer &Communication Engg Assistant professor
SNS College Of Technology, Coimbatore SNS College Of Technology,
Coimbatore sangimusic@gmail.com
jeyan.krishnan@gmail.com

Abstract
In this paper mainly, we mainly focus storage, computation, communication cost for
secure dynamic multicast key distribution. Efficient key distribution is an important
problem in secure group communication. Members in the groups are dynamic. They
required new key update by using some encryption algorithm during the time of member
join and revoked from the group. The previous work is focus on the basis of complete key
graph algorithm, hierarchical key management algorithm follow the secure key distribution
in the centralized method. We propose new protocol framework is secure group overlay
multicast (SeGrOM) that follow decentralized method apply the protocol in hierarchical
structure forms hybrid key management algorithm. Instead of using conventional
encryption algorithm, the MDS code is used. Easily combined with the hierarchical
structure provide low and balanced communication cost, storage cost, computation
complexity for secure dynamic multicast key distribution.
23
Proceedings of NCIIT 2012
Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology
ADAPTIVE AUDIO STEGANOGRAPHY BASED ON LSBMR
ALGORITHM
Sharmila.B
II M.E [Computer and Communicaiton Engg]
Kongu Engineering College
Perundurai. Erode Dt., India
e-mail :sharmilame@yahoo.com


Abstract
Steganography is the art of hiding the fact that communication is taking place, by hiding
information in other medium. Many different carrier file formats can be used, but audio
files are the most popular because of their frequency on the Internet. For hiding secret
information in audio, there exists a large variety of steganographic techniques. The least-
significant- bit (LSB) based approach is a simplest type of steganographic algorithm. In all
the existing approaches, the decision of choosing the region within a audio is performed
without considering the relationship between audio samples and the size of secret message.
Thus the samples in lower power audio will be ruin after data hiding even at a low data
rate. Hence choosing the high power audio samples for data hiding will be a solution. This
paper presents the results of analyzing the performance of data hiding at high power of the
audio. Moreover to increase the complexity for intrusion detection, some preprocess is
done. The adaptive steganography for audio file is experimented with WAV file.

AN ARCHITECTURE TO PROVIDE AUTHENTICATION IN
ANONYMOUS NETWORKS

P.Yogananth,
Department of CSE,
M. Kumarasamy College of Engineering,
Karur-639 113, India.
Email: yoganmse@gmail.com,
Tel: +91 9965868842.

Abstract
Anonymizing networks such as Tor allow users to access Internet services privately by
using a series of routers to hide the clients IP address from the server. The success of such
networks, however, has been limited by users employing this anonymity for abusive
purposes such as defacing popular Web sites. Web site administrators routinely rely on IP-
address blocking for disabling access to misbehaving users, but blocking IP addresses is not
practical if the abuser routes through an anonymizing network. As a result, administrators
block all known exit nodes of anonymizing networks, denying anonymous access to
misbehaving and behaving users alike. To address this problem, I have present Nymble, a
system in which servers can blacklist misbehaving users, thereby blocking users without
compromising their anonymity. Our system is thus agnostic to different servers definitions
of misbehaviorservers can blacklist users for whatever reason, and the privacy of
blacklisted users is maintained.
Shanthakumari.R
Assistant Professor/Information
Technology
Kongu Engineering College
Perundurai. Erode Dt., India
email: rsk_shan@yahoo.co.in



Mr.P.Saravanan ME
Department of CSE,
M. Kumarasamy College of
Engineering,
Karur-639 113, India.

24 Proceedings of NCIIT 2012

Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology

AN IMPROVED METHOD BASED ON ANONYMIZATION
ALGORITHMS FOR PRESERVING SOURCE-LOCATION PRIVACY
IN WIRELESS SENSOR NETWORK

S.Reka,
PG Scholar,
Mount Zion College of
Engineering and Technology,
Lenevilaku.
reka24nov@gmail.com

Abstract
Sensor networks have been widely employed in many real-time applications. One of the
most obvious challenges appearing to threaten the successful deployment of sensor
networks is privacy issues including source-location privacy which can not be adequately
addressed by general security mechanisms. Focusing on this important kind of privacy,
among many approaches proposed in literatures, self-adjusting phantom routing is a very
successful one. But it still has some weaknesses. In this paper, we propose an improved
version of it to enhance its performance. This method can decrease energy consumption and
communication cost while increase the accuracy of the aggregate locations by minimizing
their monitored areas.



AUTHENTIC NON SYMMETRIC GROUP KEY AGREEMENT
USING BROADCAST ENCRYPTION
Eva Mariam Babu, PG Scholar,
Sri Ramakrishna Engineering College, Coimbatore.
Email: evamariam.10@gmail.com

Abstract
Asymmetric GKA enables users of a group to derive common encryption key which is
accessible to any outsiders. This provides confidential communications and also allows any
outsider to send encrypted messages to the users of a group. An Authenticated ASGKA
protocol offers security against active attacks in open networks. Based on this protocol, a
broadcast encryption system without relying on a trusted dealer to distribute the secret keys
to the users is proposed. Improved systems are also permits a sender to select receivers for
broadcast encryption and achieves perfect forward security.








C.Senthamarai M.E d Ph.
,
Assistant Professor, Mount Zion College of
Engineering and Technology,
Lenevilaku.
senthamarai.subbu22@gmail.com


25
Proceedings of NCIIT 2012
Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology
AUTOMOTIVE CAN NETWORK ATTACKED BY SECURITY
THREATS
C. Umaa,
PG Scholar,
Anna University of Technology,
Madurai,umalekshmi08@gmail.com

Abstract
The IT security of automotive system is an evolving area of research. To analyse the
current situation and the potentially growing tendency of arising threats we performed
several practical tests on recent automotive technology. This article summarizes the result
of four practical tests performed on the control system for the window lift ,airbag control
system, warning light and the central gateway. The paper further discuss two selected
countermeasures and they are Intrusion detection and IT forensics measures. While these
reactive approaches are short-term measures, which could already be added to todays
automotive IT architecture, long-term concepts also are shortly introduced, which are
mainly preventive but will require a major redesign. Beneath a short overview on respective
research approaches, we discuss their individual requirements, potential and restrictions.



BALANCING REVOCATION AND STORAGE TRADE-OFFS IN
PRIVACY-PRESERVING UNIVERSAL AUTHENTICATION
PROTOCOL
M.Saranya,
PG Student,
Sri Krishna College of Technology,
saranmanirajan@gmail.com
Abstract
A novel protocol to achieve privacy-preserving universal authentication protocol for
wireless communications called Priauth. Verifier-Local Revocation Group Signature with
Backward Unlinkability (VLR-GS-BU), it can satisfy all requirements. Priauth belongs to
the class of Universal Authentication Protocols in which same protocol and signaling flows
are used regardless of the domain (home or foreign) a roaming user is visiting. Allowing
people to get connected seamlessly using their devices without being limited by the
geographical coverage of their own home networks roaming service should be deployed.
The key is used to encrypt data transmitted to the servers or users. The efficient distribution
of the new key for multiple membership changes is a critical problem in secure group
communication. The goal of the enhancement is to evaluate trade-off between storage and
revocation cost. Storage is computed in terms of keys that each user (respectively, VA)
maintains and revocation cost is computed in terms of the encryptions performed, and the
number of messages transmitted by the VA(visitor agent).



A.Muthu krishnan
Faculty, ECE, Anna university
of technology, Madurai
P.Dhivya,
Assistant Professor
Sri Krishna College of Technology,
dhivyainfo@gmail.com



26 Proceedings of NCIIT 2012

Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology

BLACKLISTING MISBEHAVING USERS IN INDISTINCTIVE
NETWORKS
P.Suganya,
PG Scholar,
Computer Science and Engineering,
Srinivasan Engineering College.
Suganyapandiyan03@gmail.com


Abstract
The Onion Router is used to access Internet services privately by hiding the clients IP
address from the server. The success has been limited by the concept of anonymity for
purpose of defacing the popular Web Sites. Administrators monitors and rely on IP address
blocking for disabling access to users those who misbehaves. If the user accessing from the
anonymizing network then it is impossible to block. As a result web site administrators
block all the users from an anonymizing network. To solve this problem we use Nymble in
which it can blacklist only the misbehaving users although they access from the
anonymizing networks. Servers can blacklist the users and the privacy of blacklisted users
can be maintained



CONCEALMENT OF INFORMATION IN INACTIVE AUDIO
FRAMES OF VoIP
M.Karthick,
PG Student, Department of CSE,SKCT,
Coimbatore, Tamilnadu, India.
Mail: sarakarthick@gmail.com

Abstract
Steganography is the hiding of a secret message within an ordinary message and the
extraction of secret message at its destination. In digital steganography, electronic
communications may include steganographic coding inside of a transport layer, such as a
document file, image file, program or protocol. This paper describes how to segregate the
audio that are streaming in the Voice over Internet Protocol (VoIP) and a steganography
algorithm for embedding data in the inactive frames of low bit rate audio streams.VoIP is
an IP telephony term for a set of facilities used to manage the delivery of voice information
over the Internet. Voice activity detection (VAD), is a technique used in speech processing
in which the presence or absence of human speech is detected. The main uses of VAD are
in speech coding and speech recognition, it can avoid unnecessary coding/transmission of
silence packets in Voice over Internet Protocol applications, saving on computation and on
network bandwidth. This VAD algorithm decides whether the current audio frame is an
active voice or inactive voice. The experimental results show the VAD process. The
purpose of segregating the audio frames is to embed the data in audio frame. These audio
frames are encoded with G.723.1 source codec.

Prof.J.Suganya,
Assistant Professor, Computer
Science and Engineering,
Srinivasan Engineering College.
Suganyabe08@gmail.com Suganyabe08@gmail.com

P.Madhavan,
Assistant Professor,
Department of CSE,SKCT,
Coimbatore, Tamilnadu, India.
Mailto:madhrace@rediffmail.com

27
Proceedings of NCIIT 2012
Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology
DETECTION OF MALICIOUS USER IN COOPERATIVE SYSTEM







Abstract
Detection of primary users is an important task for cognitive radio systems. By
countering the shadow effects, it is found that the performance of the CR spectrum sensing
system by the cooperation of few spectrum users. Final decision regarding the presence or
absence of the PU signal is made by a parallel fusion network with sensors to sense
information to an access point. Severe degradation of performance of the system will take
place when malicious users are present. They are identified in this paper using outlier
detection techniques for a cooperative sensing system, by considering constraints like lack
of information about primary signal propagation environment and small data sensing
samples. A novel method is proposed here to identify such users by using the spatial
information of the CR sensors and the performance results are simulated.


DYNAMIC PATH SELECTION FOR SECURE COMMUNICATION IN
PEER-TO-PEER SYSTEMS

AARTHI M,
PG student, Oxford
Engineering College,
Trichy.
veera.arti25@gmail.com

Abstract
Anonymizing Peer-to Peer (P2P) systems often incurs extra traffic costs. Peer to Peer
network doesnt contain the centralized server hence the communication between the peers
in the network.Communication between the peers should have the path to transfer a data or
information from source to destination. Existing approach is a lightweight protocol and
non-path-based mutual anonymity protocol for decentralized Peer-to-Peer systems.But the
security is not enhanced in the non-path-based systems.Predefined path in peer to peer
systems leads some attacks and also act as non secured communication. For that purpose
the protocol rumor riding is involved to make the communication secured by using the
dynamic path selection technique. The proposed system increase the query speed by
using the protocol rumor riding and also acknowledgement about the message
transformation to the source node is also specified.


P.Sakthi Vadivel,
PG scholar,Department of ECE,
Sri Krishna college of engineering
and technology,
Coimbatore,
E-mail: sakthivadivel87@yahoo.com
K.Suriya,
Assistant professor,Department of ECE,
Sri Krishna college of engineering and
technology,
Coimbatore,
E-mail: kk.suriya@gmail.com

JEYASUDHA J,
Lecturer, Oxford
Engineering
College, Trichy

Dr.SAMPATH KUMAR,
Prof & Head in Dept of
CSE, Oxford Engineering
College, Trichy


28 Proceedings of NCIIT 2012

Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology

IMPROVING SECURITY AND EFFICIENCY IN MOBILE IP
NETWORKS

Dr.S.Uma,
Electronics and Communication Engineering,
Coimbatore-641 014


Abstract
The emergence of mobile devices or mobile nodes allows the users to access the network
when they are on the move. As users move frequently from one network to another network
a new IP address is assigned to the mobile node every time when it visits a new network.
The change in IP address is informed to other nodes is dealt by Mobile IP. A secure and
efficient ID-based registration protocol with user anonymity is proposed in this paper for
IP-based mobile networks. The protocol minimizes the registration delay through a minimal
usage of the identity (ID)-basedsignature scheme that eliminates expensive pairing
operations. User anonymity is achieved via a temporary identity (TID) transmitted by a
mobile user, instead of its true identity. Additional replay protection from a Foreign Agent
(FA) is included in the registration messages to prevent a possible replay attack. Numerical
analysis and computer simulation results demonstrate that the proposed protocol
outperforms the existing ones in terms of the registration delay and the computational load
on a Mobile Node (MN) while improving security.

LOW COST AND LOW POWER SECURITY SYSTEM BASED ON
GSM TECHNOLOGY

Ms. M. Poongothai
Electronics and Communication Engineering
Coimbatore Institute of Technology
E mail id: gothaikathirvel@yahoo.com

Abstract

In this paper, we have proposed a model that alerts the user (owner) in case of intrusion in
office premises or home by calling a pre-defined number. A Passive Infrared (PIR) sensor
is used to identify the presence of intruder by detecting the motion of a body that emits
infrared radiation. A PIC microcontroller is used to receive the signal sensed by the PIR
sensor. On receiving the signal from the sensor the controller sends AT commands to GSM
modem, that initiates a voice call to the pre-defined number. Test bed design has been
implemented and simulation results were presented.





R.Thilagavathy,
Electronics and Communication
Engineering,
Coimbatore-641 014.
thilagavathy.ece@gmail.com

Mr. R. Suresh
Electronics and
Communication Engineering
Coimbatore Institute of
Technology
sureshnicholasr@gmail.com

29
Proceedings of NCIIT 2012
Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology
LOW-RATE DDOS ATTACK DETECTION AND MODIFIED IP
TRACEBACK

Prof.T Senthil Vinayakam (Research Scholar),
Electronics and Communication Engineering,
Coimbatore.

Abstract
A distributed denial-of-service (DDoS) attack is one in which a multitude of
compromised systems attack a single target, thereby causing denial of service for users of
the targeted system. The flood of incoming messages to the target system essentially forces
it to shut down, thereby denying service to the system to legitimate users. There exists
several metrics to detect DDoS attacks. In this paper, we proposed the entropy variation is
used to discriminate the DDoS attack from surge legitimate accessing. The simulation
results show that the proposed information metric can effectively detect low-rate DDoS
attacks and clearly reduce false positive rates. Furthermore, the proposed IP traceback
based on TTL based packet marking, can find all attacks as well as discard attack traffic.
The simulation environment for DDoS attacks of flooding type is done using network
simulator NS2.


MITIGATING SELECTIVE FORWARDINGTCP ATTACKS BY
COMBINING MAITH WITH A CHANNEL-AWARE APPROACH IN
MANET

Mrs.M.Kavitha,
AP/CSE,Dept of CSE,
SNS College of
Technology,
tameezh@yahoo.co.in

Abstract

TCP attacks are the major problem faced by Mobile Ad hoc Networks (MANETs) due to
its limited network and host resources. Attacker traceback is a promising solution in
MAITH Environment which allows a victim to identify the exact location of the attacker
and hence enables the victim to take proper countermeasure near attack origins, for
forensics and to discourage attackers from launching the attacks. While most of the existing
studies on selective forwarding attacks focus on attack detection under the assumption of an
error-free wireless channel,we consider a more practical and challenging scenario that
packetdropping may be due to an attack, or normal loss events such as medium access
collision or bad channel quality. However, attacker traceback in MANET is a challenging
problem due to dynamic network topology, limited network and host resources such as
memory, bandwidth and battery life. We introduce a novel method of TCP attacker
Identication in MANET by combining MAITH method with a Channel aware approach .

C.Suganthi Evangeline,
Electronics and
Communication Engineering,
ssherlin.suganthi@gmail.com.

Manjula.M ,
SNS College
of Technology,
manjucse.sns08
@gmail.com

Kishore Kumar.C,
SNS College of
Technology,
uot.kishore@gmail.com
MasanaYuvaraj.S,
SNS College of
Technology,
masanayuvaraj@
gmail.com

30
Proceedings of NCIIT 2012

Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology

RESTORING NETWORK CONNECTIVITY BY SECURING THE
TOPOLOGY OF WIRELESS SENSOR NETWORKS FROM
MALICIOUS ATTACK

D.Abila Princy,
M.E. Scholar ,
Anna University of Technology ,
Tirunelveli abiladavid@gmail.com

Abstract
A Wireless Sensor Network is a collection of nodes that are organized into a cooperative
network .The topology maintenance protocols such as PEAS and CCP are important for the
operation of sensor networks .Sensor network lifetime is increased by the protocols .The
existing PEAS and CCP protocol do not care the effect of malicious attacks .Three types of
attacks launched against these protocols are Network substitution attack ,Snooze attack and
Sleep deprivation attack .These attack reduces the lifetime of the sensor network and
degrade the functionality of the sensor applications by decreasing the network connectivity
and sensing coverage .The proposed Sec-PEAS and Sec-CCP protocol takes
countermeasures to increase the connectivity and coverage lifetime of the sensor network
.Authentication mechanism is provided

TICKET BASED SECURITY ARCHITECTURE FOR ANONYMIZING
AND TRACING MISBEHAVING CLIENTS IN WIRELESS MESH
NETWORKS

P.Priyadharshini,II-M.E(CSE).,
M.Kumarasamy college of Engineering,
dharshini.kps08@gmail.com

Abstract
Anonymity has received increasing attention in the literature due to the users awareness
of their privacy nowadays. Anonymity provides protection for users to enjoy network
services without being traced. While anonymity-related issues have been extensively
studied in payment-based systems such as e-cash and peer-to-peer (P2P) systems, little
effort has been devoted to wireless mesh networks (WMNs). On the other hand, the
network authority requires conditional anonymity such that misbehaving entities in the
network remain traceable. In this paper, I propose security architecture to ensure
unconditional anonymity for honest users and traceability of misbehaving users for network
authorities in WMNs. The proposed architecture strives to resolve the conflicts between the
anonymity and traceability objectives, in addition to guaranteeing fundamental security
requirements including authentication, confidentiality, data integrity, and nonrepudiation.
Thorough analysis on security and efficiency is incorporated, demonstrating the feasibility
and effectiveness of the proposed architecture.


S.RajaRajeswari ,
Asst.Prof(CSE) ,
Anna University of Technology
,Tirunelveli

31
Proceedings of NCIIT 2012
Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology

STEALTHY ATTACKS IN WIRELESS ADHOC NETWORKS:
DETECTION IN MULTIHOP NETWORKS







Abstract
In adhoc wireless network there are four possible attacks. They are misrouting, power
control, identity delegation, and colluding collision. The popular method of detecting
attacks in wireless network is multihop detection technique using ODMRP. The multihop
networks provide connection oriented service by partitioning available bandwidth to
multiple channels. ODMRP provides a richer connectivity among multicast members using
a mesh based approach and it Supplies multiple route for one particular destination. In
single hop it does not effectively to transfer long distance but multi-hop process to get high
gain, throughput and efficient. These provide an addition protection against malicious
nodes by supporting multiple node disjoint paths and use NS2 simulation to show its
effectiveness against representative control and data attacks.



ACCURACY OPTIMIZATION FOR HIGH-DIMENSIONAL DATA
USING DENCOS CLUSTERING ALGORITHM
M.S.Hema S.Leela
Department of Computer Science Department of Computer Science
Kumaraguru College of Technology Kumaraguru College of
Technology
Coimbatore, TamilNadu, India Coimbatore, TamilNadu, India
ghema_shri@yahoo.co.in leels.rose@gmail.com

Abstract
Subspace clustering seeks to find clusters in a dataset by selecting the most relevant
dimensions for each cluster separately. Dense regions in subspaces are predicted using
density threshold. Identifying such dense regions suffers from a critical problem, called
the density divergence problem, which incurs the serious loss of clustering accuracy
(precision or recall) in different subspace cardinalities. This paper proposes an innovative
algorithm, called DENCOS (DENsity Conscious Subspace clustering), which adopts a
divide-and-conquer scheme to efficiently discover clusters satisfying different density
thresholds in different subspace cardinalities. As validated by extensive experiments on
various data sets, DENCOS can discover the clusters in all subspaces with high quality and
efficiency.


Gowri S
PG Student, Department of
Computer Science and
Engineering
Oxford Engineering College
gowri.inftec@gmail.com
Muthu Venkatachalam P
Professor, Department of
Computer Science and
Engineering
Oxford Engineering College
Dr Sampathkumar V
Professor and Head,
Department of Computer
Science and Engineering
Oxford Engineering College
32 Proceedings of NCIIT 2012

Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology

EFFICIENT BRIDGING OF DOMAIN DISTRIBUTION GAP USING
BIG ALGORITHM IN TRANSFER LEARNING
R. Kavitha C. Gowtham
Department of Computer Science Department of Computer Science
Kumaraguru College of Technology Kumaraguru College of
Technology
Coimbatore, Tamil Nadu, India Coimbatore, Tamil Nadu, India
kavitha.cse2009@yahoo.com gowtham26indian@gmail.com

Abstract
In data classification, the lack of labeled data degrades the classification
performance in many real world applications. To overcome this problem transfer learning
techniques are used to classify domain data from other source data. But transfer learning
may not work well when the distribution gap between source domain and target domain is
large. This paper proposes BIG (Bridging Information Gap) algorithm which effectively
extracts useful knowledge from a worldwide knowledge base and links the source and
target domains for improving the classification performance. As validated by extensive
experiments on several real-world cross-domain text classification tasks, BIG algorithm
outperforms several existing domain adaptation approaches significantly.


DOCUMENT SEGMENTATION APPROACHES AND TECHNIQUES
AN OVERVIEW
Priyadharshini N Vijaya MS
M.Phil Research Scholar, Associate Professor,
PSGR Krishnammal College for Women, G.R.Govindarajalu School of Applied
Computer Technology
npriyadharshinimphil@gmail.com msvijaya@grgsact.com
Abstract
This paper presents an analysis on different approaches and techniques of document
segmentation. Document segmentation is vital phase of document analysis process. It
includes separation of text and non-text region from a document image. A text region
contains pure text regions, tables, mathematical equations labels etc and a non-text region
contains images, graphs, charts, background regions etc. Two categories of methods have
been used in document analysis namely 1) hierarchical methods including Bottom-up, Top-
down and Hybrid approaches 2) non-hierarchical methods. The segmentation technique
which use these approaches are Hough Transform, Skew Detection, Projection profile Cuts,
Run-Length Smoothing Algorithm, Texture Analysis, Projection-based, Pitch-based,
Recognition-based, Region-based Which have been used in these approaches are discussed
in this chapter.




33
Proceedings of NCIIT 2012
Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology

EMAIL ABSTRACTION SCHEME FOR SPAM DETECTION

S.Jansi Rani E.A.Vimal
II Year ME Student Assistant Professor(SRG)
Kumaraguru College of Technology, Kumaraguru College of Technology,
jansiranis89@gmail.com eavimal@gmail.com

Abstract
spam is one of the major problems of the todays internet, bringing financial
damage to companies and annoying individual users. Among the approaches developed to
stop spam, filtering is an important and popular one. In the field of collaborative spam
filtering by near-duplicate detection, a superior e-mail abstraction scheme is required to
more certainly catch the evolving nature of spams. Compared to the existing methods in
prior research, in this project, we explore a more sophisticated and robust e-mail abstraction
scheme, which considers e-mail layout structure to represent e-mails. The specific
procedure SAG is proposed to generate the e-mail abstraction using HTML content in e-
mail, and this newly-devised abstraction can more effectively capture the near-duplicate
phenomenon of spams. Moreover, a complete spam detection system Cosdes has been
designed to efficiently process the near-duplicate matching and to progressively update the
known spam database .One major focus of this work is to design the innovative data
structure to facilitate the process of near-duplicate matching. SpTable and SpTrees (sp
stands for spam) are proposed to store large amounts of the email abstractions of reported
spams.

AUTOMATIC SEGMENTATION OF RETINAL IMAGES BY USING
MORPHOLOGICAL WATERSHED AND REGION GROWING
METHOD

D.Jebasudha S.Kaleeswari M.Tech
PG Scholar, Assistant Professor,
Mount Zion College of Engineering Mount Zion College of Engineering
and Technology, and Technology,
lenevilaku lenevilaku
jebasudha2010@gmail.com kaleeswari@sakthivel@yahoo.co.in

Abstract
Retinal image segmentation is essential for diagnosing various problems occurs in
eye. Retinal image segment is one of the critical issues because these images contain very
small nerves and some artifacts present in it. This paper proposes an automatic
morphological watershed segmentation and region growing method to change the
representation of an image into something that is more meaningful and easier to analyze the
interested object. There are several methods that intend to perform segmentation, but it is
difficult to adapt easily and detect the very small nerves accurately. To resolve this
problem, this paper aims to present an adaptable automatic morphological watershed
segmentation and region growing method that can be applied to any type of retinal images
which is exactly diagnosed even with the small changes that
34 Proceedings of NCIIT 2012

Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology

BOOSTING-SVM AND SRM-SVM CASCADE CLASSIFIERS IN FACE
VERIFICATION






Abstract
Face verification in the presence of age progression is an important problem. The
problem of designing and evaluating discriminative approaches without explicit age
modelling is used. To find the gradient orientation discard magnitude information. This
representation is further improved when hierarchical information is used which results in
the use of gradient orientation pyramid. When combined with a support vector machine,
gradient orientation pyramid demonstrate excellent performance. Gradient Orientation of
each color channel of human faces is robust under age progression. The feature vector
which is computed as the cosines of the difference between gradient orientations at all
pixels, is given as the input to the support vector machine classifier. The support vector
machine is used to divide the feature space into two classes, one for the intrapersonal pairs
and the other for extrapersonal pairs. Svm is not an easy classifier to train. Also Svm is a
binary classifier and it is immune to noise Boosting svm and SRM svm can be used to
improve the performance.The proposed method may give better performance.

DETECTION OF VIDEO COPY USING FINGERPRINT
EXTRACTION






Abstract
A video copy detection system is a content-based search engine focusing on Spatio-
temporal features. It aims to find whether a query video segment is a copy of video from
the video database or not based on the signature of the video. It is hard to find a video is a
copied video or a similar video since the features of the content are very similar from one
video to the other. The main focus is to detect that the query video is present in the video
database with robustness depending on the content of video and also by fast search of
fingerprints. The Fingerprint Extraction Algorithm and Fast Search Algorithm are adopted
to achieve robust, fast, efficient and accurate video copy detection. As a first step, the
Fingerprint Extraction algorithm is employed which extracts a fingerprint through the
features from the image content of video. The images are represented as Temporally
Informative Representative Images (TIRI). Next step is to find the presence of copy of a
query video in a video database, in which a close match of its fingerprint in the
corresponding fingerprint database is searched using inverted-file-based method.
Safiya K.M
PG student,
Sri Krishna College of
Technology,
Coimbatore, India,
safiyamoideen@gmail.com
Prof.S.Bhuvana
Assistant Professor,
Sri Krishna College
of Technology,
Coimbatore, India,
bhuvana_anju@reiffmail.com
R.Gnana Rubini
PG Student,
Sri Krishna College of
Technology,
Prof.P.Tamijeselvy
Assistant Professor,
Sri Krishna College of
Technology,

Ms. P. Anantha Prabha

Assistant Professor,
Sri Krishna College of
Technology,


35
Proceedings of NCIIT 2012
Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology

DETECTION OF WML IN BRAIN IMAGES USING
GEOSTATISTICAL FUZZY CLUSTERING






Abstract
White matter lesions are small areas of dead cells found in parts of the brain that act
as connectors are detected using magnetic resonance imaging (MRI) which has increasingly
been an active and challenging research area in computational neuroscience. This paper
presents new image segmentation models for automated detection of white matter changes
of the brain in an elderly population. The main focus is on unsupervised clustering
algorithms. Clustering is a method for dividing scattered groups of data into several groups.
It is commonly viewed as an instance of unsupervised learning. In machine learning,
unsupervised learning refers to the problem of trying to find hidden structures in unlabeled
data. Unsupervised clustering models, Fuzzy c-means clustering and Geostatistical Fuzzy c-
means clustering algorithms partition the dataset into clusters according to some defined
distance measure. The Region of Interest (ROI) is then extracted on the membership map.
Much more accurate results are obtained by GFCM, which better localized the large regions
of WMLs when compared to FCM.

FEATURE EXTRACTION OF INTRADUCTAL BREAST LESION
IMAGES USING GMM






Abstract
Intraductal Carcinoma is a noninvasive condition in which abnormal cells are found
in the lining of a breast duct. The abnormal cells have not spread outside the duct to other
tissues in the breast. In some cases, Intraductal Carcinoma may become invasive cancer and
spread to other tissues, although it is not known at this time how to predict which lesions
will become invasive. Intraductal cancer is the most common type of breast cancer in
women. Memory Intraductal includes 3-types of cancer: Usual Ductal Hyperplasia (UDH),
Atypical Ductal Hyperplasia (ADH), and Ductal Carcinoma in Situ (DCIS). So the system
of detecting the breast microscopic tissue of UDH, ADH, DCIS is proposed. The current
standard of care is to perform percutaneous needle biopsies for diagnosis of palpable and
image-detected breast abnormalities. UDH is considered benign and patients diagnosed
UDH undergo routine follow-up, whereas ADH and DCIS are considered actionable and
patients diagnosed with these two subtypes get

M. Anitha
PG Student,
Sri Krishna College of
Technology,
anitha_murugaiyan@yahoo.com
Prof.P.Tamijeselvy
Assistant Professor,
Sri Krishna College of
Technology,
ptamijeselvy@gmail.com
G.Prieyadharsini
PG Student,
Sri Krishna College of
Technology,
gprieyadharsini@gmail.com

Prof.P.Tamijeselvy
Assistant Professor
Sri Krishna College of
Technology,
tamijeselvy@gmail.com
36 Proceedings of NCIIT 2012

Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology

FURTHEST NEAREST NEIGHBOUR CRITERION BASED ACTIVE
LEARNING IN KNN AND SVM CLASSIFIERS







Abstract
Active learning is a supervised learning method that is based on the idea that a
machine learning algorithm can achieve greater accuracy with fewer labelled training
images if it is allowed to choose the image from which it learns. Facial age classification is
a technique to classify face images into one of the several predefined age groups. The
proposed system applies an active learning approach to facial age classification which
allows a classifier to select the data from which it learns. The classifier is initially trained
using a small pool of labeled training images. This is achieved by using the bilateral two
dimension linear discriminant analysis. Then the most informative unlabeled image is
found out from the unlabeled pool using the furthest nearest neighbor criterion, labeled by
the user and added to the appropriate class in the training set. The incremental learning is
performed using an incremental version of bilateral two dimension linear discriminant
analysis. This active learning paradigm is proposed to be applied to the k nearest neighbor
classifier and the support vector machine classifier and to compare the performance of
these two classifiers.

IMAGE SEGMENTATION FOR HIGH SPATIAL RESOLUTION
USING MARKER BASED WATERSHED ALGORITHM
Vaigarai B Mathivanan B
PG Scholar, Asst. Proffesor,
Department Of CSE, Department of CSE,
Sri Ramakrishna Engineering college, Sri Ramakrishna Engineering College,
Coimbatore Coimbatore
vaigarai14@gmail.com

Abstract
In this paper we proposes an edge embedded marker based watershed algorithm for
high spatial resolution remote sensing image segmentation. Two improvement techniques
are proposed for the two key steps of maker extraction and pixel labeling, respectively, to
make it more effective and efficient for high spatial resolution image segmentation.
Moreover, the edge information, detected by the edge detector embedded with confidence,
is used to direct the two key steps for detecting objects with weak boundary and improving
the positional accuracy of the objects boundary. It performs well both in retaining the weak
boundary and reducing the undesired over-segmentation.



Indu. M. T
PG Student,
Sri Krishna College of
Technology,
Coimbatore
indumt.anjali@gmail.com

Ms. S. Bhuvana
Assistant Professor,
Sri Krishna College of
Technology,
Coimbatore
bhuvana_anju@rediffmail.com
37
Proceedings of NCIIT 2012
Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology

IMPROVING WEB IMAGE SEARCH USING GMI METHOD
M.Sree Rajeswari J.Selvakumar
Master of Engineering Asst.Professor
Department of CSE (PG) Dept.of Software Engineering
Sri Ramakrishna Engineering College, Sri RamakrishnEngineering College
Coimbatore Coimbatore
rajikool@ymail.com selvakumar_me@yahoo.co.in

Abstract
We have to type a query in traditional text-based image retrieval (TBIR), relevant images
are to be reranked using visual features after the initial text-based search. reranked using visual
features after the initial text-based search. In this paper, we propose a new bag-based reranking
framework for large-scale TBIR. MI learning methods is used in this bag based re-ranking. we
used generalised MI (GMI) setting for this application. Developing a new method referred to as
GMI-SVM to enhance retrieval performance by propagating the labels from the bag level to the
instance level. To acquire bag annotiations for GMI learning, we propose a bag ranking method
to rank all the bags according to the bag ranking score. We had used real-world data set NUS-
WIDE demonstrate our framework with automatic bag annotation can achieve the best
performances compared with existing image reranking methods. GMI-SVM can achieve better
performances.

OPTIMAL CONTRAST TONE-MAPPING USING LINEAR
PROGRAMMING FOR IMAGE ENHANCEMENT
Dr.S.Uma Maheswari T.Sasikumar
Electronics and communication Engineering Electronics and communication
Engineering
Coimbatore Institute of Technology Coimbatore Institute of Technology
Coimbatore, India Coimbatore, India.

Abstract
A novel linear programming approach for optimal contrast-tone mapping is
proposed. A measure of contrast gain and a sister measure of tone distortion are defined for
gray level transfer functions. These definitions allow us to depart from the current practice
of histogram equalization and formulate contrast enhancement as a problem of maximizing
contrast gain subject to a limit on tone distortion and possibly other constraints that
suppress artifacts. The resulting contrast-tone optimization problem can be solved
efficiently by linear programming. The proposed constrained optimization framework for
contrast enhancement is general, and the user can add and fine tune the constraints to
achieve desired visual effects. Experimental results are presented to illustrate the
performance of the proposed method, demonstrating clearly superior performance of the
new technique over histogram equalization. In addition, two locally adaptive contrast
enhancement techniques by the proposed method are investigated.



38 Proceedings of NCIIT 2012

Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology

OPTIMAL FEATURE REGION SET SELECTION FOR ROBUST
DIGITAL IMAGE WATERMARKING
R.Sakila N.Naveenkumar,M.E.,(Ph.D)
II year M.E. (C.S.E) Sr.Lecturer
Sengunthar Engineering College, Sengunthar Engineering College,
Tiruchengode. Tiruchengode.
Emailid:sakilacse@gmail.com

Abstract
The efficiency of a digital watermarking algorithm is indicated by the strength of
embedded watermarks against various attacks. Attacks which attempt to destroy or
invalidate watermarks can be classified into two types, noise-like signal processing and
geometric distortions. Attacks of the first type intend to remove embedded watermarks
from the cover image by a signal processing approach. The second type of attack, which
results in synchronization errors by geometric distortions, makes a detector fail to detect the
existence of watermarks even if they are still on the image. Comparing with some well-
known feature-based methods, the proposed method exhibits better performance in robust
digital watermarking.The proposed system is the region collection scheme for robust digital
image watermarking. This method aims to select a non overlapping feature region set,
which has the greatest strength against various attacks and can care for image quality as
much as possible after watermarked.

REVERSIBLE DATA HIDING TECHNIQUE FOR HIDING SECRET
DATA IN VIDEO SCENE
K.Eswaramoorthy R.Dhanalakshmi
Department of Computer Science Department of Computer
Science
and Engineering and Engineering
R.M.K Engineering College R.M.K Engineering College
eswaramoorthy88@gmail.com rdl.cse@rmkec.ac.in

Abstract
This work proposes a novel reversible data hiding scheme for Encrypted &
Compressed video scene, which enables the exact recovery of the original video upon
extraction of the embedded information. It is expected that this reversible data hiding
technique will be deployed for a wide range of applications in the areas such as secure
medical image data system, law enforcement, e-government, image authentication and
covert communication where any distortion to the original image is not acceptable. First the
raw video is taken and then splitted into the video frames. After encrypting the image
(video frame), the additional data can also be encrypted using encrypted key and then
embedded into the image by modifying a small proportion of the video frames. With an
encrypted image containing additional encrypted data called marked image is send to the
receiver. Receiver may rstly decrypt the image using the encryption key, and the
decrypted version is similar to the original video. According to the data-hiding key, with
the aid of spatial correlation in natural video scene, the embedded data can also be
successfully extracted and then decrypted using the encryption key.
39
Proceedings of NCIIT 2012
Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology

ROAD DETECTION FROM A SINGLE IMAGE USING SIMULATED
ANNEALING
Sofia Joshy M.Balamurugan
PG Student, Assistant Professor
Department of Computer Science Department of Computer Science
and Engineering, and Engineering,
Sri Krishna College of Technology, Sri Krishna College of Technology,
Coimbatore-641 042 Coimbatore-641 042
sofiajoshy@gmail.com bala.munisamy@gmail.com

Abstract
Road detection algorithms are used to detect road form a single image. This paper
decompose the road detection process into two steps: the estimation of the vanishing point
associated with the main (straight) part of the road, followed by the segmentation of the
corresponding road area based upon the detected vanishing point. The proposed system
compute texture orientation for each pixel in the image using Gabor filter. Then the
confidence score for each pixel orientation is calculated and it is used for the estimation of
vanishing point of the road by a locally adaptive soft voting scheme (LASV). Vanishing
point constrained road border detection method is used to find the road borders. Simulated
annealing algorithm can be used to improve the performance of the system by selecting the
parameters of the Gabor filters correctly.

THE EFFECTIVE COLOR FEATUER SELECTION AND
MECHANISM FOR FACE RECOGNITION

KANCHERALA. HIMABINDU
M.E (comm. systems)
Hindustan University
Chennai-603103
Tamilnadu, India
bindu.324@gmail.com

Abstract
This paper introduces the new color face recognition (FR) method that makes
effective use of boosting learning as color-component feature selection framework. The
proposed boosting color-component feature selection framework is designed for finding the
best set of color-component features from various color spaces (or models), aiming to
achieve the best FR performance for a given FR task. In addition, to facilitate the
complementary effect of the selected color-component features for the purpose of color FR,
they are combined using the proposed weighted feature fusion scheme.
The effectiveness of our color FR method has been successfully evaluated on the
following public face databases (DBs): Experimental results show that the results of the
proposed method are impressively better than the results of other state-of-the-art color FR

Ms .SHIJU C CHACKO
Department Electronics &
Communication
Hindustan University
Chennai-603103
Tamilnadu, India

40 Proceedings of NCIIT 2012

Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology

VESSEL TREE SEGMENTATION IN LUNG IMAGES AFFECTED BY
INTERSTITIAL LUNG DISEASES
Dr.S Uma Maheswari S. X. Roger Antony
Electronics and communication Engineering Electronics and communication
Engineering
Coimbatore Institute of Technology Coimbatore Institute of Technology
Coimbatore, India. Coimbatore, India.

Abstract
Vessel tree segmentation techniques have gained attention, since they play a key
role in Computer Aide Diagnosis (CAD) applications aimed at nodule or pulmonary
embolism detection as well as Interstitial Lung Disease (ILD) pattern quantification. These
segments can act as the control points for lung image registration applications in case of
follow-up data, as well as for guiding airway tree and lung lobe segmentation.
Segmentation of lung images has been done from the past to know the exact position of the
lobes and other structures in the lungs. Segmentation of vessel trees is important in the
diagnosis of ILD. Segmentation of nodular trees is also an area of research used for
identification of Obstructive airway diseases. Techniques used till now are used only for the
extraction of vessel trees of the lungs. In this project, the presence of any pathologies and
lesions can also be extracted along with the vessels from lung images which is gives a
better and clear interpretation of the disease. Thus, this acts as a pre-processing step in the
CAD schemes of ILD patterns in Multi Detector Computed Tomography (MDCT). The
performance of this algorithm is evaluated using three main performance measures namely
area overlap, true positive fraction and false positive fraction.


HANDWRITTEN LETTER RECOGNITION USING
CLASSIFICATION ALGORITHMS
Saranya K Vijaya MS
M.Phil Research Scholar, Associate Professor,
PSGR Krishnammal College for Women, G.R. Govindarajalu School of Applied
Computer Technology
k.saranyamphil@gmail.com msvijaya@grgsact.com

Abstract
Handwriting Recognition is the ability of a computer to receive and interpret intelligible
handwritten input from sources such as paper documents The image of the written text may
be sensed "off line" from a piece of paper by optical scanning or intelligent word
recognition. Handwriting recognition system handles formatting, performs correct
segmentation into characters and finds the most plausible words. Classification technique in
data mining suits best for this problem. In this paper the classification algorithms namely
Naive Bayes, J48 and Multilayer Perceptron are trained and the trained models are used to
recognize the letter. The data set retrieved from UCI Machine learning repository is used
for learning. The letter recognition dataset consists of 10,000 instances and 17 attributes.
The performance of the classifiers is evaluated using 10-fold cross-validation and the
results are analyzed.
41
Proceedings of NCIIT 2012
Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology

AN APPROACH TO MOTION DETECTION IN VIDEO SEQUENCE

VANITHA.R,
M.E. Computer and communication
M.A.M. College of Engineering
E mail id: vanitha_tiscon@yahoo.co.in

Abstract
Video processing is one of the most challenging areas in image processing. It deals
with identifying an object of interest. Motion detection has been used in many fields either
directly or indirectly. In this paper an efficient approach to motion detection in video
sequence using color feature extraction operator. Using this approach we improve the
background subtraction and detecting the moving object with greater accuracy. In this
paper, background modeling is done in order to make the update of background due to light
illumination and change in the weather condition. Foreground detection is done before
updating the background model. Color feature extraction is done in order to avoid the
dynamic background such as moving leaves, rain, snow, rippling water.

LOCATION MONITORING ALGORITHMS FOR WIRELESS
ADHOC NETWORKS
P.Kavitha Prof.M.Sayee Kumar
PG Scholar,

Assistant Professor,
Computer Science and Engineering, Computer Science and Engineering,
Muthayammal Engineering College Muthayammal Engineering College
Pkavi89@gmail.com Sayee.academic@gmail.com

Abstract
It monitors personal locations with a potentially untrusted server poses privacy
threats. The two algorithms, namely, resource-aware and quality-aware algorithms, that aim
to provide high quality location monitoring services for system users. Both algorithms
established k-anonymity privacy concept to enable trusted sensor nodes to provide the
aggregate location information. The resource-aware algorithm aims to minimize
communication and computational cost, while the quality-aware algorithm aims to
maximize the accuracy of the aggregate locations. These two algorithms are used in adhoc
networks rather than infrastructure. It use a spatial histogram approach that estimates the
distribution of the monitored persons based on the gathered aggregate location information.
It guarantees the location privacy of the monitored persons.







42 Proceedings of NCIIT 2012

Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology


MODIFIED MULTIMEDIA ARCHITECTURE FOR MOBILE
MULTIMEDIA APPLICATION
S.Priya D.Dhivya
M.E- Computer Science & Engineering Lecturer Computer Science & Engineering
Muthayammal Engineering College Narasus Sarathy Institute of Technology
Namakkal- 637 408 Salem
India India
Email:priyacses@gmail.com Email:maildhivya@gmail.com

Abstract
Dynamically modified SRAM array for low-power mobile multimedia application.
The proposed structure use a lower voltage for cells storing low-order bits and a nominal
voltage for cells storing higher order bits .Parametric failures due to manufacturing
variations limit the opportunities for power saving in SRAM. The architecture allows
reconfigure the number of bits in the low-voltage mode to change the error characteristics
of the array in run-time. We can obtain more than 45% savings in memory power with a
marginal (10%) reduction in image quality under Simulations in predictive 70 nm nodes.

ENHANCING RELIABILITY AND LIFETIME MAXIMIZATION IN
DUTY CYCLED WIRELESS SENSOR NETWORK BASED ON
FORWARDING PROCEDURE
S.Arunkumar, Y.Kallifulla,
M.E. Network Engineering, Assistant Professor,
Vel Tech Multi Tech Department of Information Technology,
Dr.RR Dr.SR Engineering College, Vel Tech Multi Tech
Email: arun.naf@gmail.com Dr.RR Dr.SR Engineering College

Abstract
The paper deals about Chinese remainder theorem based packet forwarding
technique in duty cycled wireless sensor network with energy efficient multipath
routing.This is a novel packet forwarding technique to grade reliable delivery and saves
energy of this duty cycled wireless sensor network.This forwarding technique reduces the
burden of the node by transmitting only few message bits.The duty cycled wireless sensor
network is the network in which node switches to active and power saving state to save
energy.Consider a node in network wants to transmit a message to sink then the nodes
grouped as hierarchial cluster and also each node knows about the number of
neighbourhood nodes in next hierarchy of cluster so that splitting of packets could be done
at nodes.By Chinese remainder theorem(CRT) the packet splitting will be done in which
the number of message bits is modular divisioned with the set of Prime numbers and a
mask will be added to the message and this is called CRT component. Mask gives the index
of the splitted message.A simple reconstruction which satisfies the computation complexity
level of processor in duty cycled wireless sensor network.Node switches between active
state and power saving state and if the CRT component is passed within the active state of
node then the node will receive else packet will be lost.Using this CRT method CRT
component loss is admissible and
43
Proceedings of NCIIT 2012
Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology

PERFORMANCE ANALYSIS AND IMPROVEMENT MEASURES
FOR COGNITIVE RADIO NETWORKS






















Abstract
Cognitive Radio Network opportunistically exploits locally unused spectrum which
is not heavily occupied by licensed users. It provides a new path to resolve spectral scarcity
and to avoid spectral congestion, without disturbing the QoS requirements of others in the
system. Of the many challenges involved in the practical ways of framing concepts for a
working model of CR Network, we present its results for predominant applications of data
and video, in detail. This project addresses the most plausible method of integrating a full
scale CR Network capable of using TCP connections and data based traffic.
By providing a higher priority status for video traffic over data traffic feeds, simulations for
performance analysis are shown with the help of Dynamic Vertical Sharing Overlay
methodology. The theoretical values of mean delay and jitter for data and TCP packets may
be computed along with an analysis of the average throughput and efficiency of the system
for different TCP based connections. Further simulation with higher priority video signal
and data traffic will be considered. A comparative analysis of results over data and video
signal will be carried out.

RELAY NODE PLACEMENT SCHEME TO INCREASE LIFE TIME
IN WIRELESS SENSOR NETWORKS
J.YASODHA N.PREMALATHA
PG Student, Assistant Professor,
Department of CSE, Department of CSE,
Kongu Engineering College, Kongu Engineering College,
Erode, Tamil Nadu, India Erode, Tamil Nadu, India
Email: yasoramyabe@gmail.com Email:
premalathan@gmail.com
Abstract
To alleviate the traffic burden of sensor nodes and extend the network lifetime in
wireless sensor networks, one approach is to deploy a large number of expensive macro-
relay nodes for routing data. The problem is it will degrade the fault tolerance capacity of
WSNs. If relay nodes are uniformly placed, the issue of uneven power consumption arises
as relay nodes closer to the sink are required to relay more data and thus will deplete their
energy more quickly. Here, the relay node deployment problem is discussed under the
assumption that the relay node has the same dimension and same energy supply as the
sensor node. Based on balancing power consumption among all sensor nodes and relay
nodes, a relay node density function is deduced according to which relay nodes are placed
in the sensing field. This approach can achieve high energy utilization and the network
lifetime is significantly extended compared with the approach of uniformly placing relay
nodes.
V.P.Ajay,
[M.E Comm.Systems]
PG Student, SKCET,
Coimbatore
Ph: +918870764430
brittoajay1986@gmail.com
Mrs. Rathika Dhamu,
Assistant Professor,
KPRIET,
Coimbatore
Ph: +919865817783
rathikadhamu@gmail.com
Dr. Sofia Sudhir
Professor,
SKCET,
Coimbatore
Ph: +919487752081
sofia_sudhir@yahoo.co.in
44 Proceedings of NCIIT 2012

Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology

RELIABILITY AND SECURING TOPOLOGY MAINTENANCE
PROTOCOLS FOR SENSOR NETWORK

A.ANUPAMA V.MURUGAN
PG student, Senior lecturer,
Oxford engineering college Oxford engineering college
anuarthi17@gmail.com muruganv84@gmail.com

Abstract
We analyze the security vulnerabilities of PEAS, ASCENT, and CCP, three well-
known topology maintenance protocols (TMPs) for sensor networks. These protocols aim
to increase the lifetime of the sensor network by only maintaining a subset of nodes in an
active or awake state. The design of these protocols assumes that the sensor nodes will be
deployed in a trusted, nonadversarial environment, and does not take into account the
impact of attacks launched by malicious insider or outsider nodes. We propose a
metaprotocol (Meta-TMP) to represent the class of topology maintenance protocols. The
Meta-TMP provides us with a better understanding of the characteristics and of how a
specific TMP works, and it can be used to study the vulnerabilities of a specific TMP. We
describe various types of malicious behavior and actions that can be carried out by an
adversary to attack a wireless sensor network by exploiting the TMP being used in the
network. We describe three attacks against these protocols that may be used to reduce the
lifetime of the sensor network, or to degrade the functionality of the sensor application by
reducing the network connectivity and the sensing coverage that can be achieved. Further,
we describe countermeasures that can be taken to increase the robustness of the protocols
and make them resilient to such attack.

ROBUST DIFFUSION OF VIDEO USING SUV IN VANETS
S.Parthasarathy Mr.V.Arun,
M.E Student, Assistant Professor of ECE,
Anna University of Technology Madurai,. Anna University of Technology Madurai,
Madurai. Madurai.
parthasarathy.me.2010@gmail.com

Abstract
Vehicular ad hoc network is not efficient to support the transformation process of
multimedia streaming. Broadcast and Multicast in adhoc network facing the problem of
highly dynamic topology of Vehicular network and the strict delay requirements of
streaming application. Inter vehicular communications called Streaming Urban Video,
which is fully distributed and dynamically adapts to topology changes, and leverages the
characteristics of streaming applications to yield a highly efficient, cross-layer solution.






45
Proceedings of NCIIT 2012
Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology

STABLE CHANNEL BASED ROUTING WITH NODE-PATH
HANDOFF IN MANET
Jinu Mercy Joy,
PG Scholar,
Sri Ramakrishna Engineering College, Coimbatore
Email: jinumjoy@gmail.com

Abstract
In wireless mobile ad hoc networks (MANETs), packet transmission is impaired by
radio link fluctuations. A variety of routing protocols have been proposed for mobile ad hoc
networks communicating over unreliable wireless links and have generally ignored channel
fading. To accommodate this channel fading, this paper proposes a novel channel adaptive
routing protocol which extends the Ad hoc On-Demand Multipath Distance Vector
(AOMDV) routing protocol. It utilizes the average nonexpiring time, combined with hop-
count, to select stable links and applies a preemptive handoff strategy to maintain reliable
connections.

FILE SHARING IN UNSTRUCTURED PEER-TO-PEER NETWORK
USING SAMPLING TECHNIQUE

Ms. P. Preethi Rebecca, M.ARUNA M.E (CSE) ,
Asst.Professor / CSE , St. Peters University,Chennai
St. Peters University, Chennai.

Abstract
This paper presents a detailed examination of how the dynamic and heterogeneous
nature of real-world peer-to-peer systems can introduce bias into the selection of
representative samples of peer properties (e.g., degree, link bandwidth, number of files
shared). We propose the Metropolized Random Walk with Backtracking (MRWB) as a
viable and promising technique for collecting nearly unbiased samples and conduct an
extensive simulation study to demonstrate that our technique works well for a wide variety
of commonly-encountered peer-to-peer network
conditions. We have implemented the MRWB algorithm for selecting peer addresses Using
the Gnutella network, we empirically show that - yields more accurate samples than tools
that rely on commonly-used sampling techniques and results in dramatic improvements in
efficiency and scalability compared to performing a full crawl.










46 Proceedings of NCIIT 2012

Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology

SUPPORTING SCALABILITY AND
STATELESS MULTICASTING IN MANET
K.Vanitha S.Varadhaganapathy
M.E Computer and Communication Professor
Department of Information Technology Deprtment of Information Technology
Kongu Engineering College Kongu Engineering College.
Erode, TamilNadu.India. Erode,TamilNadu.India.
vnthkrshnn@gmail.com svg@kongu.ac.in

Abstract
A mobile ad hoc network is defined as a transient network which is formed
dynamically by the collection of nodes which are arbitrary. It can also be called as
infrastructure less network, because it has no structure frame for positioning the nodes.
Node itself acts and does the work of router in routing the packets from one node to another
node. Multicasting is the process of delivering packets from a single source to several
destinations simultaneously. To achieve scalability, the network terrain is divided into
zones and every node is aware of its own position. The position information is integrated
with zone structure building, group membership management and multicast tree
maintenance. The concept of zone depth is used to further improve the efficiency of the
protocol. EGMP provides high packet delivery ratio, less control overhead .The main focus
of this work is to reduce the control overhead and also to improve the performance of the
Efficient Geographic Multicast Protocol (EGMP) through stateless multicasting.

A NOVEL APPROACH ON GREEDY MAXIMAL SCHEDULING
ALGORITHM ON EMBEDDED NETWORKS

Mr.N.Kumaresan, N.Arun Prasath,
Assistant Professor M.E.EmbeddedSystemsand
Technologies,
Department of Electronics and Communication,
Anna University of technology, Coimbatore
prakumpriniv@gmail.com arunprasathest@gmail.com

Abstract
There has been a significant amount of work done in developing low-complexity
scheduling schemes to achieve high performance in wireless networks. A centralized sub-
optimal scheduling policy, called Greedy Maximal Scheduling (GMS) is a good candidate
because its empirically observed performance is close to optimal in a variety of network
settings. However, its distributed realization requires high complexity, which becomes a
major obstacle for practical implementation. In this paper, we develop simple distributed
greedy algorithms for scheduling in wireless networks in embedded. we propose greedy
algorithms for scheduling, with better performance and lower complexity and reduce
delay .We reduce the complexity by relaxing the global ordering requirement of GMS, up
to near-zero. Simulation results show that the new algorithms approximate the performance
of GMS, and improved method to reduce packet loss and enhance the total output. This
algorithm also reduce larger queue length on the wireless networks.
47
Proceedings of NCIIT 2012
Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology

LOCATION TRACKING IN UNDERWATER SENSOR NETWORKS
USING MOBILITY PREDICTION BY DIVIDED SENSITIVE RANGES
A.Arivazhagi Prof.S.Jayanthi
PG Scholar, Assistant Professor,
Computer Science and Engineering, Computer Science and Engineering,
Srinivasan Engineering College Srinivasan Engineering College
arivupra@gmail.com nigilakash@gmail.com
Abstract
Location tracking of mobile sensor nodes is indispensable for underwater sensor
networks. For example, in aquatic environment monitoring applications, getting a correct
location is an essential task in order to get useful location-aware data. Only a limited
number of schemes are available for the localization service in underwater acoustic
networks. These solutions are mainly designed for small-scale networks(usually with tens
of nodes or even less).However, many aquatic applications, such as coastline protection,
requires a localization solution that communicate with large number (hundreds to
thousands) of nodes. The proposed paper, focus on the localization service for large-scale
mobile underwater sensor networks. We propose a mobility prediction algorithm by
dividing sensitive ranges. The division is in accordance with the cell transformation
probability. Then various estimation methods are applied according to the sensitivity of the
range to gain high precision. As it turns out, the simulation results show that the proposed
method can accurately estimate the location for mobile users even in the situation of
deficient location history.

A HIGH-QUALITY SECURED SHELL FOR LOCATION
MONITORING SYSTEM IN WIRELESS SENSOR NETWORKS
N.Rekha S.Chinnadurai
PG Scholar, Assistant Professor,
Computer Science and Engineering, Computer Science and Engineering,
Srinivasan Engineering College Srinivasan Engineering College
Rekha.rajan88@gmail.com Duchinna198227@gmail.com

Abstract
Advances in sensor networking and location tracking technology enable location
based applications but they also create signicant privacy risk. Tracking our personal
information in an untrusted environment poses privacy breach. In order to preserve the
privacy, a high quality location monitoring services for system users needed. Hence two in-
network location anonymization algorithms, namely, resource and quality-aware algorithms
has been proposed. Both algorithms use k-anonymity privacy concept, to enable trusted
sensor nodes to provide the aggregate location information of monitored persons for our
system and also preserve personal location privacy, while enabling the system to provide
location monitoring services. The resource-aware algorithm aims to minimize
communication and computational cost, while the quality-aware algorithm aims to
minimize the size of cloaked areas in order to generate more accurate aggregate locations.
To provide location monitoring services based on the aggregate location information, a
spatio-temporal histogram approach has been proposed that analyzes the aggregate
locations reported from the sensor nodes to estimate the distribution of the monitored
48 Proceedings of NCIIT 2012

Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology

LOCALIZATION SCHEME FOR MINIMIZING ERROR IN
WIRELESS SENSOR NETWORKS USING MONTE CARLO
LOCALIZATION ALGORITHM
S.Balasubramanian S.Sathishkumar
M.E Software Engineering M.E Software Engineering
Anna University of Technology Anna University Of Technology
Tiruchirapalli Tiruchirapalli
Email id:balamanian09@gmail.com Email id: sathish.infostar@gmail.com

Abstract
Localization is an essential and important research issue in wireless sensor networks
(WSNs). Most localization schemes focus on static sensor networks. However, mobile
sensors are required in some applications to acquire all the relevant data. As such, a
localization scheme designed for mobile sensor networks is necessary to track the moving
nodes. In this paper, we propose a localization scheme to improve the localization accuracy
of existing protocols. In this proposed scheme, the normal nodes without location
information can estimate their own locations by gathering the positions of location-aware
nodes (anchor nodes) and the one-hop normal nodes whose locations are estimated from the
anchor nodes. In addition, we propose a scheme that predicts the moving direction of sensor
nodes to increase localization accuracy. Simulation results show that the localization error
in our proposed scheme is lower than the previous schemes in various mobility models and
moving speeds.

LATENCY FOR VERTICAL HANDOFF DECISION IN
HETEROGENEOUS NETWORKS
D.Velmurugan, P.Thirumaraiselvan
Department of Electronics and communication,
Adhiparasakthi Engineering College
Vel.kumar.88@gmail.com
Abstract
Next generation wireless communications will likely rely on integrated networks
consisting of multiple wireless technologies. Hybrid networks based, for instance, on
systems such as WiMAX and WiFi can combine their respective advantages on coverage
and data rates, offering a high Quality of Service (QoS) to mobile users. In such
environment, WiFi/WiMAX dual mode terminals should seamlessly switch from one
network to another, in order to obtain improved performance or at least to maintain a
continuous wireless connection. our proposed algorithm raises the system capacity, thus
increasing the gain that can be achieved with a WiMAX and WiFi heterogeneous
deployment. Here use a new fuzzy logic inference system for vertical handover, which
combines a trigger to continuously maintain the connection and another one to maximize
the user throughput. The proposed handoff algorithm between WLAN 802.11 and
WLAN 802.16 network is implemented. The result of the simulation shows the behavior of
the handoff latency in WLAN networks. The vertical handoff decision algorithm is able to
determine when a handoff is required, and selects the best access network that is optimized
to network conditions, quality service requirements, mobile terminal conditions, user
preferences, and service cost.
49
Proceedings of NCIIT 2012
Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology

SECURE HYBRID RANGE QUERY FRAMEWORK
IN TIERED SENSOR NETWORK
Se.Nerthikaa Prof.S.Saravanan
PG Scholar, Assistant Professor,
Computer Science and Engineering, Information Technology,
Srinivasan Engineering College Srinivasan Engineering College
coolmestudent@gmail.com samidhanam@gmail.com

Abstract
The two-tier architecture consisting of a small number of resource-abundant storage
nodes in the upper tier and a large number of sensors in the lower tier. Master nodes collect
data from sensor nodes and answer the queries from the network owner. In this architecture,
each sensor having multiple sensing capabilities periodically forwards the multidimensional
sensed data to the storage node. Unfortunately, the sensed data could be leaked to or could
be manipulated by the compromised nodes. In this paper Centralized algorithm is proposed,
represent the first distributed approximations of the facility location problem that can be
practicably implemented in multihop sensor networks with local communication. Through
simulation studies, clustering technique with hybrid tree structure is used to locate nodes to
detect the adversary. In addition, this paper proposes simple extensions to our algorithms to
support dynamic networks with varying link qualities and node additions and deletions.

SECURE ON-DEMAND MULTICAST ROUTING PROTOCOL FOR
WIRELESS MESH NETWORKS
R.Maheshwari, R.C.Suganthe,
PG student, CSE, Professor, CSE,
Kongu Engineering College, Kongu Engineering College,
Erode, Tamil Nadu, India Erode, Tamil Nadu, India
maheshwaribtech@gmail.com

Abstract
Wireless Mesh Network has become the focus of research in recent years since it
offers rich and high speed content access. Traditional multicast routing protocols in mesh
network use hop count as a path selection metric. This path selection may leads to the
selection of poor quality link and negatively impact on throughput. So, high-throughput
multicast routing protocols use link quality as a path selection metric. In this protocol,
nodes must collaborate inorder to compute path metric and forward data. Here all the nodes
are assumed as honest and behaving correctly during path establishment and data
forwarding. However, given the shared and multihop nature of the communication, this
assumption no longer holds and wireless mesh networks are subject to a wide range of
security threats like metric manipulation attack, Sybil attack, warmhole attack, blackhole
attack,etc. Previous works focus on protecting the multicast protocol from metric
manipulation attack that distorts the path selection process in the entire network. In this
work, we identify sybil attack against high throughput multicast protocols in wireless mesh
network. Our proposed defense mechanism relies on Redundant Identity Detection for
detecting attacks.

50 Proceedings of NCIIT 2012

Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology

ROUTE REDIRECTION IN UNSTRUCTURED NETWORK USING
CHORD

Rama B, Muthu Venkatachalam P, Dr.Sampath Kumar V
PG Student, Professor, Professor and Head,
Oxford Engineering College. Department of CSE, Department of CSE,
rama_mce@yahoo.co.in Oxford Engineering College. Oxford Engineering College.

Abstract
Chord as a tree based routing DHTs are used to share storage and routing
responsibility of all nodes in an unstructured network (unbounded path length). The two
major problems called deny access and misroute lookups are addressed by replica
placements. This placement creates route redirection. The route redirection method called
neighbor set routing with the replica placement can successfully route messages to the
correct position even when some of the nodes are compromised at random. Route
redirection provides better robustness. The one-hop DHTs and DHT with multilevel
hierarchies are the proposed technique for different type of applications. The benefit of this
idea is to improve the throughput and to reduce the delay.

SECURE AND EFFICIENT INCENTIVE PROTOCOL FOR
WIRELESS SENSOR NETWORKS
Aathira.R.Kurup Prof.Sri Ramalinga Ganesa Perumal.B.E.,M.Tech.,
2nd year ME., Head of the Department, ECE Department,
Sudharsan Engineering College, Sudharsan Engineering College,
Pudukkottai Pudukkottai.
Email id: aathira_thamburu@yahoo.com

Abstract
The selfish nodes in the multihop wireless network does not transfer packets as per
the requirements of the client system and it affects the network performance adversely. To
avoid this delay in the transmission of the data packets a credit based secure incentive
protocol was proposed. So that it simulate cooperation among mobile nodes implemented
in a fully distributed way and immune to wide range of attacks. Incentive-based protocols
are more proper for multi-hop wireless networks because in addition to cooperation
stimulation, these protocols can achieve fairness by rewarding credits to the cooperative
nodes, and discourage packetflooding attack where the attackers exchange bogus packets to
consume the intermediate nodes resources because the nodes pay for relaying their
packets. However, secure incentive protocols usually use signatures to achieve payment
nonrepudiation which is important to prevent payment manipulation, and thwart free riding
attacks because the messages integrity is checked in each hop. These cryptosystems incur
too heavy overhead to be used efficiently in limited-resource nodes. In this paper, we
propose an Efficient and Secure cooperation Incentive Protocol (ESIP) that uses public-key
operations only for the first packet in a series, and then the efficient hashing operations are
used in the next packets, so that the overhead of the packet series converges to that of the
hashing operations. Hash chains and keyed hash values are used to achieve payment non
repudiation and thwart free riding attacks.
51
Proceedings of NCIIT 2012
Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology

AUTOMATED URBAN DRINKING WATER DISTIBUTION AND
WATER THEFT CONTROL
Renjisha E Rajan Porf.P.Moorthy
Vivekanadha College of Engineering, Vivekanadha College of Engineering,
Thiruchengode Tamilnadu, India Thiruchengode Tamilnadu, India
renjishaerajan@gmail.com selvaec@gmail.com

Abstract
Water is a precious resource. Urban water supply networks are large-scale systems
that transport drinking water over vast geographical areas to millions of consumers. The
rapid growing of the wide urban residential areas imposes the expansion as well as the
modernization of the existing water supply facilities. Along with this one more problem
identified in the water supply channels is water theft since some people use HP to 1 HP
pump to suck the water directly from the channel. This automated urban drinking water
distribution and theft control system is mainly to collect the real time parameters and to
control the supply if any consumer consume excess amount of water. Implementation of
this project in a domestic area is to monitor and control the real time water flow to houses,
and intimation system for theft control along with safe and secure operations. This
automated system allows overall supervision and remote control of all the water network
equipments and the management of the water flow according to the users demand and the
available water volume related with the reservoirs level. Process automation system based
upon utilization of an industrial PC system including all the network components represents
the best way to improve the water distribution technological process.


REALIZING PROGRAMMABLE LOGIC CONTROL
ENVIRONMENT USING ARM7 MICROCONTROLLER WITH
WIRED AND WIRELESS COMMUNICATION CAPABILITIES TO
HOST
Kavi Kishore.P Himanshu Shekhar
M.E (Comm Systems) M.Tech (Phd...)
Hindustan University Dept of ECE,
Chennai-603103 Hindustan University
kavikishore.mtech@gmail.com Chennai-603103
himshekh@gmail.com

Abstract
In this paper, a new design is brought forward according to the requirement of
monitoring for the remote PLCs. The system based on DCS uses monitoring equipment
to collect information of PLCs by UARTs, and then the data is sent to a DCS
terminal to be processed and stored in SQL Database. The microprocessor control
unit(MCU) of monitor is based on LPC1758, which is ARM Cortex-M3 based
microcontroller. The hardware configuration of monitor, software design and
communication method are introduced. The monitoring program of the DCS terminal is
also described. The monitor for remote PLCs has the characteristics of simple equipment,
low cost and accuracy. It has great value in use for process control
52 Proceedings of NCIIT 2012

Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology

SEA WAVES SIGNAL PROCESSING USING RECURRENT
NEURAL NETWORKS
S.K.Umamaheswari, Mrs.M.Umadevi
Ganadipathy Tulsis Jain Engg College, Ganadipathy Tulsis Jain Engg College,
Chittoor-Cuddalore Road, Chittoor-Cuddalore Road,
Kaniyambadi, Kaniyambadi,
Vellore-632102. Vellore-632102.
Email id:principal@gtec.ac.in, Email id:uma_san2001@yahoo.co.in

Abstract
Recurrent neural networks (RNNs) are powerful tools to learn complex dynamical
systems, for two main reasons: i) they are universal approximators of dynamical systems,
and ii) they can exhibit continuous dynamics; a suitable property to model, for example,
agent(robot)-environment interaction. However, "standard" RNNs, such as BPTT and
RTRL suffer from computational complexity and slow training. To overcome these
difficulties, concepts of such as echo state networks (ESN) and Liquid State Machines
(LSM) have been proposed. The core idea of reservoir computing consists of using a large
RNN as a pool of excitable complex neural dynamics, from which readout neurons can
learn to extract the current state of the network. This reduces the complexity of training to
simple linear regression while preserving the recurrent property of the network.

DESIGN OF MULTIBAND MICROSTRIP PATCH ANTENNA
S.Mahendrakumar, M.E., (Ph.D)
Assistant Professor,
Department of ECE,
Velalar College of Engineering & Technology,
Thindal.
s.mahendrakumar@yahoo.com

Abstract
In this project our aim is to design a patch antenna for frequency ranges starting from 900
MHz to 5.35 GHz which includes the GSM (880-960) GPS (1568-1592 MHz), DCS (1710-
1880 MHz), and PCS (1850-1990 MHz). UMTS (1920-2170 MHz), IEEE 802.11 b/g
(2400-2484) and WLAN IEEE 802.11a band (5.15-5.35) in order to meet the demand for
newer microwave and millimeter-wave systems and emerging telecommunication
challenges with respect to size, performance and cost of an antenna. It offers the advantages
of light weight, low cost and ease of fabrication. Design of patch antenna includes the
analysis of antenna parameters such as Bandwidth, Gain and Efficiency which are related to
antenna dimensions and their substrate Material parameters. Further we extend our
investigations on various methods of improving the bandwidth and gain of the antenna
which is used for mobile communication.




M.Dhineshkumar,

V.S.Kamalamanickam,

R.Malathy,
M.Manikandan,

Department of ECE,
Velalar College of Engineering &
Technology, Thindal
53
Proceedings of NCIIT 2012
Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology

LINKED DATA GENERATION FRAMEWORK AND ITS
APPLICATION

Ujjal Marjit,
C.I.R.M.,
University of Kalyani
Klayani-741235, W.B.,
India
sic@klyuinv.ac.in


Abstract
The enormous quantity of semantically interlinked data is a prerequisite for making the
Semantic Web become a reality. The major theme of the Semantic Web is to publish
structured data on the web using Resource Description Framework (RDF). Occasionally
these expressive pieces of data remains on the web as data silos without contributing a lot
to the preparation of a global data-space. Linked Data helps machines understand content of
web and alleviate the mentioned above objective. In this paper our approach is to represent
a framework and an application based on it, so that the data from the legacy database
(RDBMS) is published as linked data on the web around the concept of global data-space.


ENHANCEMENT OF WIRELESS SENSOR NETWORK BASED ON
CLUSTERING APPROACH

Bibin.M, Miss.E.Srie Vidhya Janani,
2
nd
year ME Communication Systems, Asst professor, CSE Department,
Anna University of Technology Madurai, Anna University of Technology
E-mail id: bibinlee@gmail.com. Madurai

Abstract
Wireless Sensor networks are infrastructure less and application specific in nature. They
are mostly deployed in hard to reach places, hence increase in the lifetime of WSN is
mandatory in safety critical and reliable application, else it may cause economic losses, or
even fatalities. In general, clustering sensors into groups is a popular strategy to maximize
the network lifetime, but none of the clustering algorithms address the predictability issue
for time-critical WSNs. In this proposed method the HEF clustering algorithm is chosen as
a design reference model, which is proved to be an optimal clustering policy under certain
ideal conditions. To address network lifetime predictability in practice, the network lifetime
bounds and feasibility test for the HEF are developed via the worst case energy
consumption analysis. Proper shedulability of packet transmission also analyzed using
various techniques.




Arup Sarkar,
Department of Computer
Science & Engineering.,
University of Kalyani
Klayani-741235, W.B.,
India
arup@klyuniv.ac.in

Utpal Biswas,
Department of Computer
Science & Engineering.,
University of Kalyani
Klayani-741235, W.B.,
India
utpal01in@yahoo.com

54 Proceedings of NCIIT 2012

Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology

HIGH DIMENSIONAL DATA ANONYMOUS PUBLICATION AND
UPDATES TO CONFIDENTIAL DATABASES
S.Kiruthika


PG Scholar,
Computer Science and Engineering,
Vivekanandha College of
Engineering for Women
kiruthimani@gmail.com

Abstract
Existing research on privacy-preserving data publishing focuses on relational data: in this
context, the objective is to enforce privacy-preserving paradigms, such as k-anonymity and
-diversity, while minimizing the information loss incurred in the anonymizing process
(i.e., maximize data utility). Existing techniques work well for fixed-schema data, with low
dimensionality. We propose two categories of novel anonymization methods for sparse
high-dimensional data. The first category is based on approximate nearest-neighbor (NN)
search in high-dimensional spaces, which is efficiently performed through locality-sensitive
hashing (LSH).

IDENTIFICATION OF SPAM USING STRUCTURE ABSTRACTION
GENERATION

Sharjina Rani. R
M.E. Computer Science and Engineering
Sri Krishna College Of Engineering
and Technology
shilparasmin@gmail.com
Abstract
Spam is the use of electronic messaging systems to send unwanted bulk messages
indiscriminately. In spam detection, collaborative filtering with near duplicate similarity
matching scheme has been recently used. Email abstraction is generated from email content
text. The main goal of near duplicate similarity matching scheme is to maintain a known
spam database, formed by user feedback, to block subsequent near-duplicate spams. The
email abstractions cannot fully catch the spams, and are not effective in near-duplicate
detection because these abstractions are too brief and thus they are not robust enough to
withstand intentional attacks. In proposed system, Collaborative Spam Detection
System(Cosdes) with a novel e-mail abstraction scheme is used. This project is about
identification of spam using HTML content in email. In this scheme, e-mail layout structure
is used to represent emails. This email abstraction scheme generates the e-mail abstraction
using HTML content in email and then designs a complete spam detection system Cosdes.
Cosdes consists of two schemes. There are near-duplicate matching scheme and a
progressive update scheme. The progressive update scheme enables system Cosdes to keep
the most up-to-date information for near-duplicate detection. The primary idea of near
duplicate scheme for spam detection is to use reported known spams to block subsequent
ones which have similar content.
Dr.R.K.Gnanamurthy
Principal,
Vivekanandha College of
Engineering for Women

55
Proceedings of NCIIT 2012
Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology

MINING KDD CUP DATABASE FOR INTRUSION DETECTION
BASED ON FUZZY CLASS-ASSOCIATION RULE MINING USING
GENETIC NETWORK PROGRAMMING

N.Mohan Prabhu,
PG student Dept of CSE ,
Sudharshan Engg College,
Pudukkottai.
Email id: sbc_ias@yahoo.com

Abstract

As the Internet services spread all over the world, many kinds and a large number of
security threats are increasing. Therefore, intrusion detection systems, which can
effectively detect intrusion accesses, have attracted attention. This paper describes a novel
fuzzy class-association rule mining method based on genetic network programming (GNP)
for detecting network intrusions. GNP is an evolutionary optimization technique, which
uses directed graph structures instead of strings in genetic algorithm or trees in genetic
programming, which leads to enhancing the representation ability with compact programs
derived from the reusability of nodes in a graph structure. By combining fuzzy set theory
with GNP,the proposed method can deal with the mixed database that contains both
discrete and continuous attributes and also extract many important class association rules
that contribute to enhancing detection ability. Therefore,the proposed method can be
flexibly applied to both misuse and anomaly detection in networkintrusion- detection
problems.





















Mr.Venkatasan,
Asst Prof Dept of CSE,
Sudharshan Engg College,
Pudukkottai.



56 Proceedings of NCIIT 2012

Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology


LIVER CANCER CLASSIFICATION FROM GENE EXPRESSION
USING SWARM INTELLIGENCE

N.Kannaiya Raja,
M.E., (P.hd) .,
A.P/CSE Dept.
Arulmigu Meenakshi Amman College of Engg
Thiruvannamalai Dt,
Near Kanchipuram ,
Kanniya13@hotmail.com








Abstract

The most important vital part of microarray in gene expression analysis which classify
different types of liver cancer tissue sampling according to gene expression with the help of
known sample expression levels which have been extracted from different sources of the
systems by using network. We present parallel form of dataset that ensures high level of
classification can be done on the dataset from different hospital from worldwide by using
logical network and integrated into knowledge mining and used as a image in the
microarray. Accuracy of test samples in a computer aided diagnosis framework than a
single diagnosis form. In this paper, in medical diagnosis such dataset are highly desirable
as medical expert can gain additional information are needed for each diagnosis, we
investigate knowledge discovery from clinically collect dataset for liver cancer which is a
chronic disease a major public health challenge in the world . According to international
statistics 200 million civil liver patient living in the world wide and this number is expected
to rise with in 2 years therefore we propose a algorithm Particle swarm optimization based
Feasible Ensemble Classifier used for gene selection and accurate liver cancer classification
,FEC technique shows good discriminating power in gene expression analysis. The PSO-
FEC provides better classification accuracy than GA-FEC classifier, The FEC method can
be easily extended for nonlinear classifier.








P.Uma Devi, ME.,(P.hd).,
A.P/CSE Dept.
Arulmigu Meenakshi
Amman College of Engg
Thiruvannamalai Dt,
Near Kanchipuram ,
Umasri05@yahoo.co.in
Dr. K.Arulanandam, Prof & Head,
CSE Department,
Ganadipathy Tulsis Jain Engineering
College, Vellore,
sakthisivamkva@gmail.com
N.Saranya Arulmigu Meenakshi
Amman College of Engg
Thiruvannamalai Dt, Near
Kanchipuram ,
Saranya.n2010@gmail.com
57
Proceedings of NCIIT 2012
Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology

AN EFFICIENT FALSE HITS REDUCTION BY AUTHENTICATED
MULTISTEP NEAREST NEIGHBOR SEARCH

Abstract

For an increasing number of modern database applications, efficient support of similarity
search becomes an important task. Multistep processing is commonly used for nearest
neighbor (NN) and similarity search in applications for costly distance computations.
Today, many such applications require a proof of result correctness. In this setting, clients
issue NN queries to a server that maintains a database signed by a trusted authority. The
server returns the NN set along with supplementary information that permits result
verification using the data set signature. An adaptation of the multistep NN algorithm
incurs prohibitive network overhead due to the transmission of false hits that the
records that are not in the NN set. In order to alleviate this problem, it presents a novel
technique that reduces the size of each false hit and for a distributed setting, where the
database is horizontally partitioned over several servers

FEATURE BASED SEMANTIC MULTI-DOCUMENT UPDATE
SUMMARY GENERATION
K.Ambika , A.Kogilavani


Department of Computer Science & Department of Computer Science&
Engineering Engineering
Kongu Engineering College, Kongu Engineering College,
Perundurai, Perundurai,
Tamilnadu, India Tamilnadu, India
ambikamecse2012@gmail.com vani_sowbar@yahoo.co.in


Abstract
Multi-document summarization is an automatic procedure aimed at extraction of
information from multiple texts written about the same topic. This paper proposes an
approach to produce an extractive semantic summary from multiple documents. Initially
constructing a list of sentences for each document is done with the help of annotating the
sentences according to the aspects. To calculate the score of each sentence, the set of
features like Word, Position, Length, Centrality, Sentence with Proper Noun, Numerical
Data, Annotated sentence, Preposition and Named Entities features are used. Finally top
ranking sentences are selected for initial summary. Then phrase matching process is used to
remove redundancies and to generate update summary. Experiment evaluation shows that
the proposed system outperforms the existing system.
Jasmine Alice Manonmani. J
M.E - Software Engineering
Jayaram College of Engg and Tech,
Anna University, Trichy
Pagalavadi, Tamilnadu State 621014,
India
sarah.manonmani@gmail.com
Senthilmathi. T M.E.,
Asst Professor, Dept. of CS
Jayaram College of Engg and Tech,
Anna University, Trichy
Pagalavadi, Tamilnadu State 621014,
tsenthilmathi@gmail.com


58 Proceedings of NCIIT 2012

Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology

IMPROVING THE INTRUSION DETECTION SYSTEM USING AN
ELEGANT ADAPTIVE LEARNING TECHNIQUE

S.Suganya,
PG Student,
CSE,
Kongu Engineering College,
Erode, Tamil Nadu, India
btechsugan21@gmail.com

Abstract
Security is an important issue of a network. There is a possibility for the third parties to
interrupt the communication in a network. So it is necessary to secure the system from the
adversaries. The technique which is used to detect the interruption is called as Intrusion
Detection System (IDS). Many solutions have been proposed for improving IDS. One of
them is IDS using Artificial Neural Network (ANN). To classify the different types of
attacks, ANN uses back propagation algorithm with feed forward neural network. But the
main drawback of ANN is that it is inefficient to use for larger networks. The proposed
system focuses to improve the IDS with larger networks by implementing a new technique
called Adaptive Learning system (ALS). The ALS technique maintains a detection model
which has the ability to identify the known interrupt in the system. Since it classifies the
activities of the system, if any new intrusion or some malfunctioning takes place the ALS
will easily identify through the detection model and it will classify those unknown activities
an anomaly. This will improve the efficiency and lifespan of the network. Experiments will
be evaluated with KDD CUP 99 data sets to test the behavior of the system.

WEB USER INTERFERENCE BY CLUSTERING
M.Malathy

M.C.BABU
2
nd
year P.G Student Lecturer of CSE
St. Peters University, ` St. PETERS UNIVERSITY,
Chennai. Chennai.
Malathyuk@Gmail.Com

Abstract
This paper focuses on the definition and identification of Web user-sessions,
aggregations of several TCP connections generated by the same source host. The
identification of a user-session is non trivial. Traditional approaches rely on threshold based
mechanisms. However, these techniques are very sensitive to the value chosen for the
threshold, which may be difficult to set correctly. By applying clustering techniques, we
define a novel methodology to identify Web user-sessions without requiring an a priori
definition of threshold values. We define a clustering based approach, we discuss pros and
cons of this approach, and we apply it to real traffic traces. The proposed methodology is
applied to artificially generated traces to evaluate its benefits against traditional threshold
based approaches. Web user-sessions tend to be Poisson, but correlation may arise during
periods of network/hosts anomalous behavior.

R.Manjuladevi
Assistant professor, Kongu
Engineering College, Erode,
Tamil Nadu, India

59
Proceedings of NCIIT 2012
Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology

AN INDEXING METHOD FOR XML DATA
P.Nataraj,
PG Scholar,
Department of CSE,
Kongu Engineering College,
Perundurai, Erode.
Email: natarajbe.cse@gmail.com

Abstract
XML has now become the standard for transporting data between different web
applications. Due to the use of XML in web applications, updating takes place so
frequently. We need a better labeling scheme that will effectively handle the updating in the
web. There are many XML labeling scheme that can assign labels for each and every nodes
in the XML tree structure. When an updating takes place, we need to assign a new label for
that node in tree. This also results in changing all labels, due to changes in tree structures.
This result in increase in complexity for labeling, when new data was added in web. We
need a XML labeling technique that can able to insert a new label without changing already
available labels in XML tree. We propose a new labeling scheme which was based on
Improved Binary String Labeling. XMill compression will reduce the label size.

CUSTOMIZED NEWS FILTERING AND SUMMARIZATION
SYSTEM BASED ON PERSONAL INTEREST

Anand babu M.H
mhanandbabu@gmail.com
Department of M.E Software Engineering
Anna University of Technology,
Thiruchirapalli

Abstract
Information on the World Wide Web is consisted with large amounts of news contents.
Recommendation, filtering, and summarization of Web news have received much attention
in Web intelligence, aiming to find interesting news and summarize concise content for
users. In this paper, we present our research on developing the News Filtering and
Summarization system (CNFS). An embedded learning component of CNFS induces a user
interest model and recommends Customized news. A keyword knowledge base is
maintained and provides a real-time update to reflect the general Web news topic
information and the users interest preferences. The non-news content irrelevant to the
news Web page is filtered out. Keywords that capture the main topic of the news are
extracted using lexical chains to represent semantic relations between words. An Example
run of our CNFS system demonstrates the superiority of this Web intelligence system.



Dr P.Jayanthi,
Assistant Professor (SG),
Department of CSE,
Kongu Engineering College,
Email: pjayanthikec@gmail.com
60 Proceedings of NCIIT 2012

Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology

LOW POWER FILTER DESIGN USING OPTIMIZED
MULTIPLEXER BASED MULTIPLIER AND ADDER CELL .

G.Anjuga Priyanka G.Sathish Kumar Prof.B.M.Prabhu Prof.L.Raja
Angel College of Engineering and Technology,
Tirupur

Abstract
The main components to design a digital filter are Adder, Multiplier and delay element.
The Filter is optimized with the proposed architecture for the adder and multiplier which is
based on the concept of multiplexers. The proposed architecture for the adder and
multiplier is reconfigured architecture with the concept of multiplexer. The proposed
architecture the full adder circuit has only 14 transistor which results in the low power and
occupies less area. An obvious method to reduce power consumption is to reduce number
of transistors in a circuit.Among the three inputs in the full adder one of the input is used as
a select line for multiplexer.6 multiplexers and an inverter is used in the proposed
architecture . After analyzing the performance characteristics of conventional multiplier
types, it is observed that the multiplexer-based multiplication algorithm is more
advantageous. The multiplexer based adder is designed in tanner s-edit and the circuit is
simulated.The proposed adder consumes 23% less power than the most power efficient 10-
transistor adders and is 64% faster of all other tested adders. Therefore, is suitable to be
applied to build larger low-power high performance VLSI systems.


OPTIMUM THROUGHPUT ESTIMATION IN MULTIBAND
MULTIANTENNA WIRELESS MESH NETWORKS

Deepika.S DR.H.Mangalam

P.G scholar, Professor,
Sri Krishna college of engineering Sri Krishna college of engineering
and technology, and technology,
Coimbatore, India, 641008 Coimbatore, India, 641008,
Email: deepsece03@gmail.com ,

Abstract
The shortage of bandwidth has made both industry and government to explore new ways
of using limited resources.Thus recent advances in signal processing combined with those
in antenna technology provide MIMO capabilities, thereby creating oppurtunities for
enhancing the throughput of wireless networks.Both SDR and MIMO together enable next
generation wireless network such as mesh networks to support dynamic and adaptive
bandwidth sharing along time,frequency and space. Use of multiple antennas at the
transmitter will suppress the interference caused by the receiver and facilitate multiple
spectrum bands.Establish nodes in WMN and find the shortest path thenafter evaluate the
approximation algorithm to predict the loss caused by constrain and estimate the
throughput.Here LP constrain relaxation techniques is used to characterize and analyze the
maximum achievable throughput that multihop,multiband
61
Proceedings of NCIIT 2012
Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology

BACKGROUND MODELING AND SUBTRACTION OF DYNAMIC
SCENES
SUGANYA DEVI A, M.TECH-IT,
Sasurie College of Engineering, Tirupur, India
(Suganyadevi.arjunan@gmail.com)
Abstract
This project presents an approach for video metrology from videos acquired by a
stationary camera, we first recover the accurate scene in the place based upon we will fine
tracking the moving objects that from the particular place. We finally fuse the multi frame
measurements using the least median of squares (LMedS) as a robust cost function. The
authors examine the problem of segmenting foreground objects in live video when
background scene textures change over time. In particular, we formulate background
subtraction as minimizing a penalized instantaneous risk functional yielding a local online
discriminative algorithm that can quickly adapt to temporal changes. We analyze the
algorithms convergence, discuss its robustness to non stationary, and provide an efficient
nonlinear extension via sparse kernels. To accommodate interactions among neighboring
pixels, a global algorithm is then derived that explicitly distinguishes objects versus
background using maximum a posteriori inference in a Markov random field (implemented
via graph-cuts). By exploiting the parallel nature of the proposed algorithms, we develop an
implementation that can run efficiently on the highly parallel graphics processing unit
(GPU). Empirical studies on a wide variety of datasets demonstrate that the proposed
approach achieves quality that is comparable to state-of-the-art offline methods, while still
being suitable for real-time video analysis.
A COMPARISON STUDY OF GENETIC ALGORITHM AND
ARTIFICIAL IMMUNE SYSTEM

Swathy Priyadharsini P
Bannari Amman Institute of Technology,
Sathyamangalam Erode,
Tamil Nadu, India
swa.pspd@gmail.com
Abstract
Bloom filter is a probabilistic and space efficient data structure designed to check the
membership of an element in a set. The trade-off to use Bloom filter may have configurable
risk of false positives. The percentages of a false positive can be made low if the hash bit
map is sufficiently massive. Spam is an unsolicited or irrelevant message sent on the
internet to an outsized range of users or newsgroup. A spam word may be a list of well-
known words that usually appear in spam mails. In the proposed system, Bin Bloom Filter
(BBF) groups the words into number of bloom filters that have different false positive rates
primarily based on the weights of the spam words. Clonal Selection Algorithm is one of the
methods in Artificial Immune System (AIS) involved with computational methods inspired
by the process of the biological immune system. This paper demonstrates the CSA
algorithm for minimizing the total membership invalidation cost of the BBF which finds
the optimal false positive rates and number of elements to be stored in bloom filters of Bin.
The experimental results demonstrate the application of CSA in BBF and compare the
results with Genetic Algorithm (GA).
Arulanand Natarajan
Anna University of Technology
Coimbatore
Tamil Nadu, India
arulnat@yahoo.com

62 Proceedings of NCIIT 2012

Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology

BIOMETRICS AS AN AUTHENTICATION MEASURE
Anantha kumar. T
Junior Research Fellow
Department of Computer Science and Engineering
Bannari Amman Institute of Technology, Sathyamangalam, Erode
anandmecse@gmail.com
Abstract
The term "biometrics" is derived from the Greek words bio (life) and metric (to measure).
Biometrics refers to the automatic identification of a person based on his/her physiological
or behavioral characteristics. This method of identification is preferred over traditional
methods involving passwords and PIN numbers for its accuracy and case sensitiveness. A
biometric system is essentially a pattern recognition system which makes a personal
identification by determining the authenticity of a specific physiological or behavioral
characteristic possessed by the user. An important issue in designing a practical system is to
determine how an individual is identified. Depending on the context, a biometric system
can be either a verification (authentication) system or an identification system. Verification
involves confirming or denying a person's claimed identity while in identification, one has
to establish a person's identity. Biometric systems are divided on the basis of the
authentication medium used. They are broadly divided as identifications of Hand
Geometry, Vein Pattern, Voice Pattern, DNA, Signature Dynamics, Finger Prints, Iris
Pattern and Face Detection. These methods are used on the basis of the scope of the testing
medium, the accuracy required and speed required. Every medium of authentication has its
own advantages and shortcomings. With the increased use of computers as vehicles of
information technology, it is necessary to restrict unauthorized access to or fraudulent use
of sensitive/personal data. Biometric techniques being potentially able to augment this
restriction are enjoying a renewed interest.

FREE AND OPEN SOURCE SOFTWARE FOR DISASTER MANAGEMENT
Prasanna Balaji M.S
Department of Computer Science and Engineering
Bannari Amman Institute of Technology
prasannabalajims@gmail.com
Abstract
Free and open source software is increasingly being used in many spheres of development
including disaster management. With the economic downturn, stakeholders at both ends of
the technology divide are turning to free and open source software solutions. Despite the
successes of open source, few challenges including sustainability remain a problem. While
use of open source varies between developed and developing nations, cheaper cost and
vendor independence have been cited as the key factors in favour of its use. The paper
illustrates empowerment of communities in developing nations through appropriate open
source applications. Explicitly, the paper describes the functioning of the Sahana disaster
management system deployed during the 2004, Indian Ocean Tsunami. Sahana used free
and open source software to create number of functionalities. Success of these
functionalities has contributed to efficient and effective management of disaster relief. The
paper offers a set of generic policy options for the use of open source in disaster
management.
63
Proceedings of NCIIT 2012
Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology

Dynamic Bandwidth Adaptation supported Adaptive Call Admission
Control Mechanism for 3GPP: LTE Networks

Senpaka Priya V
Department of Computer Science and
Engineering,
Bannari Amman Institute of Technology
Erode, TN, India
senpakapriya89@gmail.com

J.Vijay Franklin
Department of Computer Science and
Engineering,
Bannari Amman Institute of Technology
Erode, TN, India
vijay_frank@inbox.com
Abstract
In this continuous fast world of mobile devices there is always a growing demand
of high rate services. So a call has to be continuous with same data rates during a handoff.
This paper deals with a novel approach to reduce the call dropping probability while
ensuring QoS demands are met in LTE wireless networks. The reduction is based on
Adaptive Call Admission Control (Ad-CAC) scheme which gives priority to handoff call
over the new calls. The Dynamic Bandwidth Adaptation (DBA) approach is used to
maximize the overall system utilization while keeping the blocking rates low. This
approach also maintains a low new call blocking rates.
Keywords-Ad-CAC, DBA, Handoff call, New call, QoS

An Efficient Jamming Detection In Wireless Mesh Networks

Ms.J.Soniya. (M.E),
anna university of technology Coimbatore
j.soniya0709@gmail.com


Abstract

Wireless mesh networks (WMNs) have emerged as a key technology for next-
generation wireless networking. Because of their advantages over other wireless networks,
WMNs are undergoing rapid progress and inspiring numerous applications. However, many
technical issues still exist in this field. We develop a cross-layer approach for mesh access
networks to simultaneously address the unidirectional link problem. The main ideas of our
approach are to eliminate the unidirectional link at the network layer and introducing bi
directional link at the same layer also we are detecting the jammers in the network layer.
Jamming is difficult to mitigate in broadcast networks because transmitting and receiving
are inherently symmetric operations: A user that possesses the key to decode a transmission
can also use that key to jam the transmission. We describe a code tree system that provides
input to the physical layer and helps the physical layer circumvent jammers. Finally, we
demonstrate that our scheme approaches the best possible performance by performing an
extensive analysis of the system using network simulator version 2.
Mr.M.Newlin Raj kumar
M.S.,M.B.A.,(Ph.D).,
Assistant professor of CSE Dept.,
anna university of technology
Coimbatore.
newlin_rajkumar@yahoo.co.in
64 Proceedings of NCIIT 2012

Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology

Enhancing Privacy And Reducing The Traffic Levels In
Vehicular Ad-Hoc Networks

A.Naveenkumar,
P.G Scholar,
anaveenkumar@live.com,
Angel College of Engineering
and Technology, Tripur.

Abstract
Vehicular Ad Hoc Networks is a kind of special wireless ad hoc network, which has the
characteristics of high node mobility and fast topology changes. The Vehicular Networks
can provide wide variety of services, ranges from safety and crash avoidance to internet
access and multimedia applications. Attacking and misusing such network could cause
destructive consequences. It is therefore necessary to integrate security requirements into
the design of VANETs and defend VANET systems against misbehaviour, in order to
ensure correct and smooth operations of the network. In this paper, We propose a security
system for VANETs to achieve privacy desired by vehicles and traceability required by law
enforcement authorities, in addition to satisfying fundamental security requirements
including authentication, nonrepudiation, message integrity, and confidentiality. Moreover,
we propose a privacy-preserving defense technique for network authorities to handle
misbehaviour in VANET access, considering the challenge that privacy provides avenue for
misbehaviour. The proposed system employs an identity-based cryptosystem where
certificates are not needed for authentication. We show the fulfilment and feasibility of our
system with respect to the security goals and efficiency.

Threat Modelling Using An Attack Surface Metric
Isaiarasi.S
M.E - Software Engineering
Jayaram College of Engineering
and Technology
Anna University, Trichy
isaikannan@yahoo.com

Abstract
Measurement of software security is a long-standing challenge to the research
community. At the same time, practical security metrics and measurements are essential for
secure software development. Hence, the need for metrics is more pressing now due to a
growing demand for secure software. In this paper, we propose using a software systems
attack surface measurement as an indicator of the systems security. We formalize the
notion of a systems attack surface and introduce an attack surface metric to measure the
attack surface in a systematic manner. Our measurement method is agnostic to a software
systems implementation language and is applicable to systems of all sizes; we demonstrate
our method by measuring the attack surfaces of small desktop applications and large
enterprise systems implemented in C and Java.
V.Surendhiran,
P.G Scholar,
surendhiran.svs@gmail.com,
Angel College of Engineering
and Technology, Tripur.

Sakthivel.V,
M.E - Software Engineering,
Jayaram College of Engineering
and Technology,
Anna University, Trichy
mvsakthi@gmail.com

65
Proceedings of NCIIT 2012
Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology

Secure Routing Through Trusted Nodes For Mobile Adhoc Networks

Dhanya Simon, PG Scholar
Sri Ramakrishna Engineering College, Coimbatore.
Email: simondhanya@gmail.com

Abstract
The infrastructure-less property of MANET, Dynamic network topology and lack of
certificate authority make the security problems of MANET need to pay more attention.
This algorithm is to provide secure routing in ad hoc mobile networks. We use trust
establishment through friends and special challenges are used for authenticating the nodes.
The friend nodes are rated on the basis of the amount of data transmission they accomplish
and their friendship with other nodes in the network. This provides a robust mechanism for
preventing attacks by isolating malicious nodes in the network.


A Modified Approach For Continuous User Authentication And
Intrusion Detection In High Security Mobile Ad Hoc Networks

A. Caroline, Asst Prof,
Department of CSE,
Dr.S.J.S.Paul Memorial College of engineering and
technology,Pondicherry.carol_lynns@yahoo.co.in

Abstract
Since Mobile adhoc networks are made up entirely of wireless mobile nodes, they are
inherently more susceptible to security threats compared to fixed networks. Access to
wireless links is virtually impossible to control.. Authentication is the hallmark of security
and failure to achieve this will be the stumbling block in the way of securing MANETs.
Intrusion detection systems for MANETs are indispensable for a reliable system. In this
paper a modified approach has been proposed by considering the connectivity of the
network for scheduling decisions in High security Mobile adhoc networks. In such
environment we introduce a packet scheduling mechanisms which approximates an ideal
scheduling mechanism which shares the throughput among the contending flows.
Furthermore, the connectivity of the network is ensured by connectivity improvement
algorithm. Simulation results are presented to show the performance of the proposed
approach.

66 Proceedings of NCIIT 2012

Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology


An Efficient Approach For Detecting Mobile Replica Node Attack In
Wireless Sensor Network
Ms.Saranya
Second Year [M.E]
Dept of Information Technology
M.A.M College of Engineering
Trichy, India
saranyasenthilvel@gmail.com
Abstract
The sensor networks are unattended and the sensor nodes are not equipped with the
tamper-resistance hardware so that , an adversary can capture and compromise sensor
nodes, make replicas of them, and then mount a variety of attacks with these replicas. These
replica node attacks are dangerous in which the adversary takes the secret keying materials
from a compromised node, generates a large number of attacker-controlled replicas that
share the compromised nodes keying materials and ID, and then spreads these replicas
throughout the network. With a single captured node, the adversary can create as many
replica nodes as he has the hardware to generate. Previous works against replica node
attacks detection suffer from a high communication /storage overhead and also work for
only static sensor network . They do not work in mobile sensor networks, where sensors are
expected to move. An Efficient and Distributed Detection (EDD) scheme along with
Sequential Hypothesis testing for detecting replica node attacks in mobile sensor networks
is proposed. The security and performance analysis indicate that the proposed scheme can
identify replica node attacks with a high detection probability at the cost of a low
computation/communication/storage overhead.
A Optimal Information Hiding Technique With Tree Based Similarity

S.Kalaivani
PG Scholar,
Computer Science and Engineering,
Srinivasan Engineering College,
sivanesan.kalaivani@gmail.com

Abstract

The information hiding deals with distortion reduction using steganography and
security enhancement using cryptography. Distortion reduction is done using Tree Based
Parity Check which uses Majority vote strategy. The Tree Based Parity Check is very
optimal for cloaking a message on image. The proposed majority vote strategy results in
least distortion. The SHA-1 algorithm is implemented for security enhancement. The result
obtained in proposed method works effectively even with large payload.
Ms. Nerthikaa
Second Year [M.E]
Dept of Computer science
and Engineering
Srinivasan College of
Engineering
Perambalur,India
nerthi.sekar@gmail.com

V. Maheshwari,
Assistant Professor, Computer
Science and Engineering,
Srinivasan Engineering College.
maheshwari.vetri.sec@gmailcom

67
Proceedings of NCIIT 2012
Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology

An Effective Minimization Of Storage Overhead For Tracking Down The
Invasion Of Replicated Nodes In Wireless Sensor Networks
R.Rajavaishnavi,
PG Scholar,
Computer Science and Engineering,
Srinivasan Engineering College
twinkline1512@gmail.com
Abstract
Wireless sensor networks are vulnerable because nodes are often placed in a hostile or
dangerous environment where they are not physically protected. A central problem in
sensor network security is that sensors are susceptible to physical node capture attacks.
Once a sensor is compromised, the adversary can easily launch replica attacks by
duplicating the compromised node, distributing the replicas throughout the network, and
starting a variety of insider attacks. Previous works against replica attacks suffer from a
high communication /storage overhead or poor detection accuracy. A new protocol called
Node Location Maintenance (NLM) protocol is used. This employs a table of values at
each node to record the trace of the random walks. Each witness node will create a new
entry in its table for every new location claim. Randomized, efficient and distributed (RED)
protocol is used for the detection of node replication attacks. RED executes routinely at
fixed intervals of time. The security and performance analysis indicate that the proposed
scheme can identify replica attacks with a high detection probability at the cost of a low
computation/communication/storage overhead.

Correlation - Based Traffic Analysis Attacks On Anonymity Networks
M.Kumaresan,
II MCA.,
mkumaresan45@
gmail.com

Department of Computer Science, PREC
Abstract
Mixes have been used in many anonymous communication systems and are
supposed to provide countermeasures to defeat traffic analysis attacks. In this project,
we focus on a particular class of traffic analysis attacks, flow correlation attacks, by
which an adversary attempts to analyze the network traffic and correlate the traffic of a
flow over an input link with that over an output link. Two classes of correlation methods
are considered, namely time-domain methods and frequency-domain methods. Based on
our threat model and known strategies in existing mix networks, we perform extensive
experiments to analyze the performance of mixes. We find that all but a few batching
strategies fail against flow-correlation attacks, allowing the adversary to either identify
ingress or egress points of a flow or to reconstruct the path used by the flow. Counter
intuitively, some batching strategies are actually detrimental against attacks. The
empirical results provided in this project give an indication to designers of Mix
networks about appropriate configurations and mechanisms to be used to counter flow-
correlation attacks.
Prof.S.Chinnadurai,
Assistant Professor, Computer
Science and Engineering,
Srinivasan Engineering College
duchinna198227@gmail.com

N.Rajavel,
II MCA,
rajveluvasu
@gmail.com

C.Raja,
II MCA,
k.crajas917@gmail.
com
R.Gnanakumarn,
Asst. Professor,
rgkumaran@gmail
.com
68 Proceedings of NCIIT 2012

Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology


Quick Response (QR) Code: A Review
A.K.Shafreen Banu
Asst. Professor,
Department of IT,
Bishop Heber College,
Trichy-620017.
shafreenbanu@gmail.com.

Abstract
A QR code (abbreviated from Quick Response code) is a type of matrix barcode (or
two-dimensional code) first designed for the automotive industry. More recently, the
system has become popular outside of the industry due to its fast readability and large
storage capacity compared to traditional UPC barcodes. The code consists of black modules
arranged in a square pattern on a white background. The information encoded can be made
up of four standardized kinds ("modes") of data (numeric, alphanumeric, byte/binary), or
by supported extensions virtually any kind of data. The technology has seen frequent use in
the United Kingdom and the United States; QR usage is growing fastest
in Canada and Hong Kong. QR code was created by Toyota subsidiary Denso Wave in
1994 to track vehicles during the manufacturing process, the QR code is one of the most
popular types of two dimensional barcodes. It was designed to allow its contents to be
decoded at high-speed.

Modified Multimedia Architecture For Mobile Multimedia Application
S.Parthasarathy
M.E Student,
Anna University of Technology Madurai,
Madurai.
parthasarathy.me.2010@gmail.com

Abstract
Dynamically modified SRAM array for low-power mobile multimedia
application. The proposed structure use a lower voltage for cells storing low-order
bits and a nominal voltage for cells storing higher order bits .Parametric failures due
to manufacturing variations limit the opportunities for power saving in SRAM. The
architecture allows reconfigure the number of bits in the low-voltage mode to change
the error characteristics of the array in run-time. We can obtain more than 45%
savings in memory power with a marginal (10%) reduction in image quality under
Simulations in predictive 70 nm nodes INDEX TERMS Image Processing, low
power, multimedia, process variation, SRAM.


M.Lovelin Ponn Felciah
Asst. Professor,
Department of IT,
Bishop Heber College,
Trichy-620017.
lovelinponnfelciah@yahoo.co.in


G.Kavinraj
Student, II M.Sc. IT,
Department of Information
Technology, Bishop Heber
College, Trichy-620017.
kavin.bhc@gmail.com

Mr.V.Arun,
Assistant Professor of ECE,
Anna University of
Technology, Madurai,
Madurai.
69
Proceedings of NCIIT 2012
Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology

A Novel Hybrid Approach To Detect Color Texts In Natural Scene
Images
C.Selvi (M.E-CSE)
PG Scholar
Selvichandran.it@gmail.com
Gnanamani College of Technology

Abstract
Large amounts of information are embedded in natural scenes which are often required
to be automatically recognized and processed. This requires automatic detection,
segmentation and recognition of visual text entities in natural scene images. In this paper,
we present a hybrid approach to detect color texts in natural scene images. The approaches
used in this project are region based and connected component based approach. A text
region detector is designed to estimate the probabilities of text position and scale, which
helps to segment candidate text components with an efficient local binarization algorithm.
To combine unary component properties and binary contextual component relationships, a
conditional random field (CRF) model with supervised parameter learning is proposed.
Finally, text components are grouped into text lines/words with a learning-based energy
minimization method. In our proposed system, a selective metric-based clustering is used to
extract textual information in real-world images, thus enabling the processing of character
segmentation into individual components to increase final recognition rates. This project is
evaluated on natural scene image dataset.

VP8 Video Codecs For Mobile Applications
Basavaraju S,
TE Dept, Dr AIT Bangalore
rajhunsur@yahoo.co.in

Abstract
Google has recently released the video compression format VP8 to the open source
community. This new compression format competes against the existing H.264 video
standard developed by the ITU-T Video Coding Experts Group (VCEG) in collaboration
with the ISO/IEC Moving PictureExperts Group (MPEG). This paper is about coding
standards in terms of video bit rate-distortion (quality) performance and the video network
track variability with different long video sequences.. VP8 is based on decomposition of
frames into square sub-blocks of pixels, prediction of such sub-blocks using previously
constructed blocks, and adjustment of such predictions (as well as synthesis of unpredicted
blocks) using a discrete cosine transform (hereafter abbreviated as DCT).
Mr.A.A.R.Senthil Kumaar, M.E.,
(Ph.D). ,
Head of the Department,
Gnanamani College of Technology.

Dr B Siva Kumar ,
Professor and HOD of TE Dept,
Dr AIT Ban galore,
sivabs2000@yahoo.co.uk

70 Proceedings of NCIIT 2012

Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology

Image Based Learning To Enhance The Study Of Visual Impaired Person

Mrs J Kokila,
PG Student,
Department of CSE,
Oxford Engineering College,
Tiruchirappalli
Jkcse09@gmail.com
Abstract
Bag-of-visual Words (BoWs) representation has been applied for various problems in
the field of multimedia and computer vision. In this paper, descriptive visual words
(DVWs) and descriptive visual phrases (DVPs) are proposed as the visual correspondences
to the text words and phrases, where visual phrases refer to the frequently co-occurring
visual word pairs. The proposed framework will select images and transform it into a text
file using descriptive visual words and visual phrases method. The text file will be read by
the speech synthesizer which tells to the visually impaired person. Independent navigation
is always a challenge to visually impaired person, whenever they learning in the image
based books such as science, social science, biology, computer science books. We apply the
identified DVWs and DVPs in several applications including large-scale near-duplicated
image retrieval, image re-ranking, object recognition and text to speech synthesis. The
proposed image re-ranking algorithm: DWP Rank performs the state-of-the-art algorithm
by 12.4% in mean average precision and about 11 times faster in efficiency.

Efficient Iris Recognition Based Biometric Techniques For Embedded
System
Ranjisha.R,
Vivekanadha College of Engineering,
Thiruchengode Tamilnadu, India
ranjis29@gmail.com,

Abstract
Several systems require authenticating a persons identity before giving access to
resources. With new advances in technology, biometrics is one of the most promising
techniques in human recognition. Biometrics intends to identify a person by his physical
and/or behavioral characteristics. This paper presents an approach for designing personal
tokens where iris biometric authentication is applied. An iris-recognition algorithm first has
to localize the inner and outer boundaries of the iris in an image of an eye. The set of pixels
containing only the iris, normalized to compensate for pupil dilation or constriction, is then
analyzed to extract iris code needed to compare two iris images. These iris codes can be
stored in the data base or in personal token. For identification or verification, a iris code
created by imaging an iris is compared to stored template(s) in a database. Iris segmentation
is very important for an iris recognition system. If the iris regions were not correctly
segmented, there would possibly exist four kinds of noises in segmented iris regions:
eyelashes, eyelids, reflections and pupil, which will result in poor recognition performance.
Hence this paper also proposes methods which will enhance the quality of segmented iris
image by removing the noises
Mr.N.Sathish Kumar,
UG Student,
Department of CSE,
Oxford Engineering College,
Tiruchirappalli .
nsathish.oec@gmail.com


nsathish.oec@gmail.c
om


Mr.P.Thanga Durai,
UG Student,
Department of CSE, Oxford
Engineering College,
Tiruchirappalli
power.vpy@gmail.com


Prof. P.Moorthy,
Vivekanandha College of
Engineering
Thiruchengode Tamilnadu, India
selvaec@gmail.com
71
Proceedings of NCIIT 2012
Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology


Image Retrieval Using Multi-Feature Score Fusion Through Genetic
Algorithm







Abstract
Our work deals with image retrieval based on multi-feature score fusion using Genetic
algorithm. In this the retrieval results from color feature and texture feature are analyzed,
and the method of fusing multi-feature score is described. The color information of an
image is represented by the hue, saturation and intensity values. The texture features are
determined by calculating the energy, entropy, contrast and correlation values. Genetic
algorithm is applied for assigning fusion weights of multi-feature scores. Genetic algorithm
proves to be more efficient because it can assign weight functions in a randomized way.
The final query ranking is based on the total normalized distance in color and texture
features. The color and texture features of all the data base images are calculated and
compared with the same features of the input image. The top 10 images with least
difference are retrieved as the output.

An Artificial Device To Regain Memories For Accidently Memory Lost
Persons

Dinakar.S,
Lecturer,
Dept of CSE,
SNS College of Technology,
Coimbatore, TamilNadu.
s.dinakar27@gmail.com

Abstract

Brain is considered as one among the most complex organs in the human body. It is known
as super computer which cannot be decoded by any computer in the world. The proposed
describes about the retrieval of stored information from the memory for each and every
human activity. But in case of accidentally memory lost persons the process is not attained
fully so we make use of a silicon chip that generates the deep brain simulation known as
reference signal that can simulate the person activity without any interruption.


S.Bhuvaneswari,
Lecturer,
Dept of CSE,
SNS College of
Technology,
Coimbatore,
TamilNadu.
bhuvana_it04@gmail
.com
M.Velmurugan,
Student,
Dept of CSE,
SNS College of
Technology,
Coimbatore,
TamilNadu.
murugan.vel92@
gmail.com
N.Vivek Bharathi,
Student,
Dept CSE,
SNS College of
Technology,
Coimbatore,
TamilNadu.
vivekbharathi.P.n
@gmail.com
Sanmukapriya.V
Department of ECE,
Sri Shakthi Institute of
Engineering and Technology,
Coimbatore 62.
sanmukapriyacbe@gmail.co
m

Shanmugapriya.V
Department of ECE,
Sri Shakthi Institute of
Engineering and Technology,
Coimbatore 62.
priyavino487@gmail.com

S.Sangeetha
Asst. Prof /Department of
ECE,
Sri Shakthi Institute of
Engineering and Technology,
Coimbatore 62.

72 Proceedings of NCIIT 2012

Sponsored by DRDO, New Delhi Organized by Bannari Amman Institute of Technology

Intelligent Car Backup Warning System

Ms. K. Vanithamani,
Associate Professor,
Electrical and Electronics Engineering,
Coimbatore Institute of Technology,
Coimbatore

Abstract
When the car is in reverse gear, most of the drivers use back-up camera, or reverse
radar to know the road situation behind the vehicle. Pedestrians can know if the vehicle is
in reverse gear or not, by seeing a light in the rear side of the car. So, the pedestrians should
be more careful while the car is in reverse gear. This is the drawback, while the car is in
reverse gear. So, most often backup collision occurs. To prevent collision the driver should
turn around and looks out of the car. But it is not possible for all the time. Therefore, this
research tries to design an intelligent car reverse warning system using an embedded
controller. This system uses sensors to detect the objects when the car is engaged in reverse
gear. Then it will produce an alarm signal. If the driver is not attentive and if the car crosses
the predefined distance, the motor speed get slows down and if it is more closer to the
obstacle means the car will stop immediately. Touch panel is used to give the input in the
real time environment. Fuzzy logic rules are used to develop an intelligent car reversing
system.

A. Janetlin Anna Kiruba,
M.E, Embedded And Real
Time Systems,
Coimbatore Institute of
Technology, Coimbatore