Rhongho Jang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 23

Top Topics

Intrusion Detection

Top Venues

IEEE Trans. Mob. Comput.

Publications

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)
Soohyeon Choi, Rhongho Jang, DaeHun Nyang, David Mohaisen
Untargeted Code Authorship Evasion with Seq2Seq Transformation. CSoNet (2023)
Abdulrahman Alabduljabbar, Runyu Ma, Ahmed Abusnaina, Rhongho Jang, Songqing Chen, DaeHun Nyang, David Mohaisen
Measuring and Modeling the Free Content Web. CoRR (2023)
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)
Soohyeon Choi, Rhongho Jang, DaeHun Nyang, David Mohaisen
Untargeted Code Authorship Evasion with Seq2Seq Transformation. CoRR (2023)
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 (2023)
Ahmed Abusnaina, Mohammed Abuhamad, Hisham Alasmary, Afsah Anwar, Rhongho Jang, Saeed Salem, DaeHun Nyang, David Mohaisen
DL-FHMC: Deep Learning-Based Fine-Grained Hierarchical Learning Approach for Robust Malware Classification. IEEE Trans. Dependable Secur. Comput. 19 (5) (2022)
Yao Qiang, Deng Pan, Chengyin Li, Xin Li, Rhongho Jang, Dongxiao Zhu
AttCAT: Explaining Transformers via Attentive Class Activation Tokens. NeurIPS (2022)
Jeman Park, Rhongho Jang, Manar Mohaisen, David Mohaisen
A Large-Scale Behavioral Analysis of the Open DNS Resolvers on the Internet. IEEE/ACM Trans. Netw. 30 (1) (2022)
Dinhnguyen Dao, Rhongho Jang, Changhun Jung, David Mohaisen, DaeHun Nyang
Minimizing Noise in HyperLogLog-Based Spread Estimation of Multiple Flows. DSN (2022)
Jumabek Alikhanov, Rhongho Jang, Mohammed Abuhamad, David Mohaisen, Daehun Nyang, Youngtae Noh
Investigating the Effect of Traffic Sampling on Machine Learning-Based Network Intrusion Detection Approaches. IEEE Access 10 (2022)
Rhongho Jang, Changhun Jung, David Mohaisen, KyungHee Lee, DaeHun Nyang
A One-Page Text Entry Method Optimized for Rectangle Smartwatches. IEEE Trans. Mob. Comput. 21 (10) (2022)
Changhun Jung, Sian Kim, Rhongho Jang, David Mohaisen, DaeHun Nyang
A Scalable and Dynamic ACL System for In-Network Defense. CCS (2022)
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)
Ahmed Abusnaina, Afsah Anwar, Sultan Alshamrani, Abdulrahman Alabduljabbar, Rhongho Jang, DaeHun Nyang, David Mohaisen
Systemically Evaluating the Robustness of ML-based IoT Malware Detectors. DSN (Supplements) (2021)
Changhun Jung, Jinchun Choi, Rhongho Jang, David Mohaisen, DaeHun Nyang
A network-independent tool-based usable authentication system for Internet of Things devices. Comput. Secur. 108 (2021)
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 (2020)
Hisham Alasmary, Ahmed Abusnaina, Rhongho Jang, Mohammed Abuhamad, Afsah Anwar, DaeHun Nyang, David Mohaisen
Soteria: Detecting Adversarial Examples in Control Flow Graph-based Malware Classifiers. ICDCS (2020)
Rhongho Jang, DaeHong Min, Seongkwang Moon, David Mohaisen, DaeHun Nyang
SketchFlow: Per-Flow Systematic Sampling Using Sketch Saturation Event. INFOCOM (2020)
Rhongho Jang, Jeonil Kang, Aziz Mohaisen, DaeHun Nyang
Catch Me If You Can: Rogue Access Point Detection Using Intentional Channel Interference. IEEE Trans. Mob. Comput. 19 (5) (2020)
Ahmed Abusnaina, Rhongho Jang, Aminollah Khormali, DaeHun Nyang, David Mohaisen
DFD: Adversarial Learning-based Approach to Defend Against Website Fingerprinting. INFOCOM (2020)
Rhongho Jang, Seongkwang Moon, Youngtae Noh, Aziz Mohaisen, DaeHun Nyang
InstaMeasure: Instant Per-flow Detection Using Large In-DRAM Working Set of Active Flows. ICDCS (2019)
Rhongho Jang, Seongkwang Moon, Youngtae Noh, Aziz Mohaisen, DaeHun Nyang
A cost-effective anomaly detection system using in-DRAM working set of active flows table: poster. WiSec (2019)