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RhongHo Jang
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2020 – today
- 2024
- [c20]Seyed Mohammad Mehdi Mirnajafizadeh, Ashwin Raam Sethuram, David Mohaisen, DaeHun Nyang, Rhongho Jang:
Enhancing Network Attack Detection with Distributed and In-Network Data Collection System. USENIX Security Symposium 2024 - [c19]Ahmed Abusnaina, Afsah Anwar, Muhammad Saad, Abdulrahman Alabduljabbar, Rhongho Jang, Saeed Salem, David Mohaisen:
Exposing the Limitations of Machine Learning for Malware Detection Under Concept Drift. WISE (2) 2024: 273-289 - 2023
- [c18]Soohyeon Choi, Rhongho Jang, DaeHun Nyang, David Mohaisen:
Untargeted Code Authorship Evasion with Seq2Seq Transformation. CSoNet 2023: 83-92 - [c17]Mohammed Alkinoon
, Abdulrahman Alabduljabbar, Hattan Althebeiti, Rhongho Jang, DaeHun Nyang, David Mohaisen:
Understanding the Security and Performance of the Web Presence of Hospitals: A Measurement Study. ICCCN 2023: 1-10 - [c16]Sian Kim, Changhun Jung, RhongHo Jang
A Robust Counting Sketch for Data Plane Intrusion Detection. NDSS 2023 - [i7]Mohammed Alkinoon, Abdulrahman Alabduljabbar, Hattan Althebeiti, Rhongho Jang, DaeHun Nyang, David Mohaisen
Understanding the Security and Performance of the Web Presence of Hospitals: A Measurement Study. CoRR abs/2304.13278 (2023) - [i6]Abdulrahman Alabduljabbar, Runyu Ma, Ahmed Abusnaina, Rhongho Jang, Songqing Chen, DaeHun Nyang, David Mohaisen
Measuring and Modeling the Free Content Web. CoRR abs/2304.14359 (2023) - [i5]Soohyeon Choi, Rhongho Jang, DaeHun Nyang, David Mohaisen:
Untargeted Code Authorship Evasion with Seq2Seq Transformation. CoRR abs/2311.15366 (2023) - 2022
- [j6]Jumabek Alikhanov
Investigating the Effect of Traffic Sampling on Machine Learning-Based Network Intrusion Detection Approaches. IEEE Access 10: 5801-5823 (2022) - [j5]Ahmed Abusnaina
DL-FHMC: Deep Learning-Based Fine-Grained Hierarchical Learning Approach for Robust Malware Classification. IEEE Trans. Dependable Secur. Comput. 19(5): 3432-3447 (2022) - [j4]Rhongho Jang
A One-Page Text Entry Method Optimized for Rectangle Smartwatches. IEEE Trans. Mob. Comput. 21(10): 3443-3454 (2022) - [j3]Jeman Park
A Large-Scale Behavioral Analysis of the Open DNS Resolvers on the Internet. IEEE/ACM Trans. Netw. 30(1): 76-89 (2022) - [c15]Changhun Jung, Sian Kim, Rhongho Jang
A Scalable and Dynamic ACL System for In-Network Defense. CCS 2022: 1679-1693 - [c14]Abdulrahman Alabduljabbar, Runyu Ma, Soohyeon Choi, Rhongho Jang, Songqing Chen, David Mohaisen
Understanding the Security of Free Content Websites by Analyzing their SSL Certificates: A Comparative Study. CySSS@AsiaCCS 2022: 19-25 - [c13]Dinhnguyen Dao, Rhongho Jang
Minimizing Noise in HyperLogLog-Based Spread Estimation of Multiple Flows. DSN 2022: 331-342 - [c12]Yao Qiang, Deng Pan, Chengyin Li, Xin Li, Rhongho Jang, Dongxiao Zhu:
AttCAT: Explaining Transformers via Attentive Class Activation Tokens. NeurIPS 2022 - [c11]Ahmed Abusnaina, Afsah Anwar, Sultan Alshamrani, Abdulrahman Alabduljabbar, RhongHo Jang
Systematically Evaluating the Robustness of ML-based IoT Malware Detection Systems. RAID 2022: 308-320 - 2021
- [j2]Changhun Jung
A network-independent tool-based usable authentication system for Internet of Things devices. Comput. Secur. 108: 102338 (2021) - [c10]Ahmed Abusnaina, Afsah Anwar, Sultan Alshamrani, Abdulrahman Alabduljabbar
Systemically Evaluating the Robustness of ML-based IoT Malware Detectors. DSN (Supplements) 2021: 3-4 - [i4]Ahmed Abusnaina, Afsah Anwar, Sultan Alshamrani, Abdulrahman Alabduljabbar, RhongHo Jang, Daehun Nyang, David Mohaisen:
ML-based IoT Malware Detection Under Adversarial Settings: A Systematic Evaluation. CoRR abs/2108.13373 (2021) - [i3]Sunyoung Kim, Changhun Jung, RhongHo Jang, David Mohaisen, DaeHun Nyang:
Count-Less: A Counting Sketch for the Data Plane of High Speed Switches. CoRR abs/2111.02759 (2021) - 2020
- [j1]Rhongho Jang
Catch Me If You Can: Rogue Access Point Detection Using Intentional Channel Interference. IEEE Trans. Mob. Comput. 19(5): 1056-1071 (2020) - [c9]Hisham Alasmary
Soteria: Detecting Adversarial Examples in Control Flow Graph-based Malware Classifiers. ICDCS 2020: 888-898 - [c8]Rhongho Jang
SketchFlow: Per-Flow Systematic Sampling Using Sketch Saturation Event. INFOCOM 2020: 1339-1348 - [c7]Ahmed Abusnaina, Rhongho Jang
DFD: Adversarial Learning-based Approach to Defend Against Website Fingerprinting. INFOCOM 2020: 2459-2468 - [i2]Ahmed Abusnaina, Mohammed Abuhamad, Hisham Alasmary, Afsah Anwar, Rhongho Jang, Saeed Salem, DaeHun Nyang, David Mohaisen:
A Deep Learning-based Fine-grained Hierarchical Learning Approach for Robust Malware Classification. CoRR abs/2005.07145 (2020)
2010 – 2019
- 2019
- [c6]Rhongho Jang
InstaMeasure: Instant Per-flow Detection Using Large In-DRAM Working Set of Active Flows. ICDCS 2019: 2047-2056 - [c5]Rhongho Jang
A cost-effective anomaly detection system using in-DRAM working set of active flows table: poster. WiSec 2019: 286-287 - [i1]RhongHo Jang, Seongkwang Moon, Youngtae Noh, Aziz Mohaisen, DaeHun Nyang:
Scaling Up Anomaly Detection Using In-DRAM Working Set of Active Flows Table. CoRR abs/1902.04143 (2019) - 2017
- [c4]RhongHo Jang
Rogue Access Point Detector Using Characteristics of Channel Overlapping in 802.11n. ICDCS 2017: 2515-2520 - [c3]RhongHo Jang
RFlow+: An SDN-based WLAN monitoring and management framework. INFOCOM 2017: 1-9 - [c2]RhongHo Jang
Highly-accurate rogue access point detection using intentional channel interference: poster. WISEC 2017: 277-278 - [c1]RhongHo Jang
Two-level network monitoring and management in WLAN using software-defined networking: poster. WISEC 2017: 279-280
Coauthor Index
aka: Aziz Mohaisen
aka: Daehun Nyang
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last updated on 2024-12-13 19:12 CET by the dblp team
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