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Lwin Khin Shar
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2020 – today
- 2024
- [j15]Jiani Fan
, Minrui Xu
Decentralized Multimedia Data Sharing in IoV: A Learning-Based Equilibrium of Supply and Demand. IEEE Trans. Veh. Technol. 73(3): 4035-4050 (2024) - [c28]Wei Minn
DronLomaly: Runtime Log-based Anomaly Detector for DJI Drones. ICSE Companion 2024: 6-10 - [i7]Jiani Fan, Lwin Khin Shar, Jiale Guo, Wenzhuo Yang, Dusit Niyato, Kwok-Yan Lam:
Differentiated Security Architecture for Secure and Efficient Infotainment Data Communication in IoV Networks. CoRR abs/2403.20136 (2024) - [i6]Jiani Fan, Minrui Xu, Jiale Guo, Lwin Khin Shar, Jiawen Kang, Dusit Niyato, Kwok-Yan Lam:
Decentralized Multimedia Data Sharing in IoV: A Learning-based Equilibrium of Supply and Demand. CoRR abs/2403.20218 (2024) - [i5]Shaofei Huang
Security Modelling for Cyber-Physical Systems: A Systematic Literature Review. CoRR abs/2404.07527 (2024) - [i4]Erik Johannes Husom, Arda Goknil, Lwin Khin Shar, Sagar Sen:
The Price of Prompting: Profiling Energy Use in Large Language Models Inference. CoRR abs/2407.16893 (2024) - [i3]Yiran Cheng, Lwin Khin Shar, Ting Zhang, Shouguo Yang, Chaopeng Dong, David Lo, Shichao Lv, Zhiqiang Shi, Limin Sun:
LLM-Enhanced Static Analysis for Precise Identification of Vulnerable OSS Versions. CoRR abs/2408.07321 (2024) - 2023
- [j14]Lwin Khin Shar
Experimental comparison of features, analyses, and classifiers for Android malware detection. Empir. Softw. Eng. 28(6): 130 (2023) - [c27]Vikas Kumar Malviya
Fine-Grained In-Context Permission Classification for Android Apps Using Control-Flow Graph Embedding. ASE 2023: 1225-1237 - [c26]Lwin Khin Shar
AutoConf: Automated Configuration of Unsupervised Learning Systems Using Metamorphic Testing and Bayesian Optimization. ASE 2023: 1326-1338 - [c25]Vikas Kumar Malviya
An Industrial Practice for Securing Android Apps in the Banking Domain. ASE 2023: 1870-1875 - 2022
- [j13]Ha Thanh Le, Lwin Khin Shar
Automated reverse engineering of role-based access control policies of web applications. J. Syst. Softw. 184: 111109 (2022) - [c24]Lwin Khin Shar
DronLomaly: Runtime Detection of Anomalous Drone Behaviors via Log Analysis and Deep Learning. APSEC 2022: 119-128 - [c23]Mulin Duan, Lingxiao Jiang
UIPDroid: Unrooted Dynamic Monitor of Android App UIs for Fine-Grained Permission Control. ICSE-Companion 2022: 227-231 - [c22]Lwin Khin Shar
XSS for the Masses: Integrating Security in a Web Programming Course using a Security Scanner. ITiCSE (1) 2022: 463-469 - [c21]Vikas Kumar Malviya
Right to Know, Right to Refuse: Towards UI Perception-Based Automated Fine-Grained Permission Controls for Android Apps. ASE 2022: 186:1-186:6 - [c20]Jiani Fan
Differentiated Security Architecture for Secure and Efficient Infotainment Data Communication in IoV Networks. NSS 2022: 283-304 - [c19]Ta Nguyen Binh Duong, Lwin Khin Shar
AP-Coach: formative feedback generation for learning introductory programming concepts. TALE 2022: 323-330 - [d1]Julian Thomé, Lwin Khin Shar, Domenico Bianculli, Lionel C. Briand:
Benchmark suite for "An Integrated Approach for Effective Injection Vulnerability Analysis of Web Applications through Security Slicing and Hybrid Constraint Solving". IEEE DataPort, 2022 - [i2]Lwin Khin Shar, Christopher M. Poskitt, Kyong Jin Shim, Li Ying Leonard Wong:
XSS for the Masses: Integrating Security in a Web Programming Course using a Security Scanner. CoRR abs/2204.12416 (2022) - 2021
- [j12]Gede Artha Azriadi Prana
Out of sight, out of mind? How vulnerable dependencies affect open-source projects. Empir. Softw. Eng. 26(4): 59 (2021) - [j11]Vincent Ang
COVID-19 One Year on - Security and Privacy Review of Contact Tracing Mobile Apps. IEEE Pervasive Comput. 20(4): 61-70 (2021) - [c18]Lwin Khin Shar
Empirical Evaluation of Minority Oversampling Techniques in the Context of Android Malware Detection. APSEC 2021: 349-359 - 2020
- [j10]Biniam Fisseha Demissie, Mariano Ceccato
Security analysis of permission re-delegation vulnerabilities in Android apps. Empir. Softw. Eng. 25(6): 5084-5136 (2020) - [j9]Julian Thomé
An Integrated Approach for Effective Injection Vulnerability Analysis of Web Applications Through Security Slicing and Hybrid Constraint Solving. IEEE Trans. Software Eng. 46(2): 163-195 (2020) - [c17]Lwin Khin Shar
SmartFuzz: An Automated Smart Fuzzing Approach for Testing SmartThings Apps. APSEC 2020: 365-374 - [c16]Lwin Khin Shar
Experimental comparison of features and classifiers for Android malware detection. MOBILESoft@ICSE 2020: 50-60
2010 – 2019
- 2018
- [j8]Phu X. Mai
Modeling Security and Privacy Requirements: a Use Case-Driven Approach. Inf. Softw. Technol. 100: 165-182 (2018) - [j7]Julian Thomé, Lwin Khin Shar
Security slicing for auditing common injection vulnerabilities. J. Syst. Softw. 137: 766-783 (2018) - [c15]Biniam Fisseha Demissie, Mariano Ceccato
AnFlo: detecting anomalous sensitive information flows in Android apps. MOBILESoft@ICSE 2018: 24-34 - [i1]Biniam Fisseha Demissie, Mariano Ceccato, Lwin Khin Shar:
AnFlo: Detecting Anomalous Sensitive Information Flows in Android Apps. CoRR abs/1812.07894 (2018) - 2017
- [c14]Julian Thomé, Lwin Khin Shar
Search-driven string constraint solving for vulnerability detection. ICSE 2017: 198-208 - [c13]Julian Thomé, Lwin Khin Shar
JoanAudit: a tool for auditing common injection vulnerabilities. ESEC/SIGSOFT FSE 2017: 1004-1008 - 2015
- [j6]Lwin Khin Shar
Web Application Vulnerability Prediction Using Hybrid Program Analysis and Machine Learning. IEEE Trans. Dependable Secur. Comput. 12(6): 688-707 (2015) - [c12]Sun Ding, Hee Beng Kuan Tan, Lwin Khin Shar
Mining Patterns of Unsatisfiable Constraints to Detect Infeasible Paths. AST@ICSE 2015: 65-69 - [c11]Julian Thomé, Lwin Khin Shar
Security slicing for auditing XML, XPath, and SQL injection vulnerabilities. ISSRE 2015: 553-564 - 2014
- [c10]Yauhen Arnatovich, Hee Beng Kuan Tan, Sun Ding, Kaiping Liu, Lwin Khin Shar:
Empirical Comparison of Intermediate Representations for Android Applications. SEKE 2014: 205-210 - 2013
- [j5]Lwin Khin Shar
Defeating SQL Injection. Computer 46(3): 69-77 (2013) - [j4]Lwin Khin Shar
Predicting SQL injection and cross site scripting vulnerabilities through mining input sanitization patterns. Inf. Softw. Technol. 55(10): 1767-1780 (2013) - [c9]Sun Ding, Hee Beng Kuan Tan, Lwin Khin Shar
Towards a Hybrid Framework for Detecting Input Manipulation Vulnerabilities. APSEC (1) 2013: 363-370 - [c8]Lwin Khin Shar
Mining SQL injection and cross site scripting vulnerabilities using hybrid program analysis. ICSE 2013: 642-651 - [c7]Mahinthan Chandramohan, Hee Beng Kuan Tan, Lionel C. Briand, Lwin Khin Shar
A scalable approach for malware detection through bounded feature space behavior modeling. ASE 2013: 312-322 - 2012
- [j3]Lwin Khin Shar
Defending against Cross-Site Scripting Attacks. Computer 45(3): 55-62 (2012) - [j2]Lwin Khin Shar
Auditing the XSS defence features implemented in web application programs. IET Softw. 6(4): 377-390 (2012) - [j1]Lwin Khin Shar
Automated removal of cross site scripting vulnerabilities in web applications. Inf. Softw. Technol. 54(5): 467-478 (2012) - [c6]Kaiping Liu, Hee Beng Kuan Tan, Lwin Khin Shar
Semi-Automated Verification of Defense against SQL Injection in Web Applications. APSEC 2012: 91-96 - [c5]Lwin Khin Shar
Mining input sanitization patterns for predicting SQL injection and cross site scripting vulnerabilities. ICSE 2012: 1293-1296 - [c4]Lwin Khin Shar
Predicting common web application vulnerabilities from input validation and sanitization code patterns. ASE 2012: 310-313 - [c3]Mahinthan Chandramohan, Hee Beng Kuan Tan, Lwin Khin Shar
Scalable malware clustering through coarse-grained behavior modeling. SIGSOFT FSE 2012: 27 - 2010
- [c2]Lwin Khin Shar, Hee Beng Kuan Tan:
Auditing the Defense Against Cross Site Scripting in Web Applications. SECRYPT 2010: 505-511 - [c1]Lwin Khin Shar, Hee Beng Kuan Tan:
Semi-Automated Verification and Removal of Open Redirect Vulnerabilities in Web Applications. Software Engineering Research and Practice 2010: 522-528
Coauthor Index
aka: Lionel Claude Briand
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last updated on 2024-10-01 20:44 CEST by the dblp team
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