Rogue Access Point Detector Using Characteristics of Channel Overlapping in 802.11n. - RhongHo Jang; Jeonil Kang; Aziz Mohaisen; DaeHun Nyang (ICDCS, 2017)

RFlow+: An SDN-based WLAN monitoring and management framework. - RhongHo Jang; DongGyu Cho; Youngtae Noh; DaeHun Nyang (INFOCOM, 2017)

Two-level network monitoring and management in WLAN using software-defined networking: poster. - RhongHo Jang; DongGyu Cho; Aziz Mohaisen; Youngtae Noh; DaeHun Nyang (WISEC, 2017)

Highly-accurate rogue access point detection using intentional channel interference: poster. - RhongHo Jang; Jeonil Kang; Aziz Mohaisen; DaeHun Nyang (WISEC, 2017)

InstaMeasure: Instant Per-flow Detection Using Large In-DRAM Working Set of Active Flows. - Rhongho Jang; Seongkwang Moon; Youngtae Noh; Aziz Mohaisen; DaeHun Nyang (ICDCS, 2019)

A cost-effective anomaly detection system using in-DRAM working set of active flows table: poster. - Rhongho Jang; Seongkwang Moon; Youngtae Noh; Aziz Mohaisen; DaeHun Nyang (WiSec, 2019)

Scaling Up Anomaly Detection Using In-DRAM Working Set of Active Flows Table. - RhongHo Jang; Seongkwang Moon; Youngtae Noh; Aziz Mohaisen; DaeHun Nyang (CoRR, 2019)

Soteria: Detecting Adversarial Examples in Control Flow Graph-based Malware Classifiers. - Hisham Alasmary; Ahmed Abusnaina; Rhongho Jang; Mohammed Abuhamad; Afsah Anwar; DaeHun Nyang; David Mohaisen (ICDCS, 2020)

DFD: Adversarial Learning-based Approach to Defend Against Website Fingerprinting. - Ahmed Abusnaina; Rhongho Jang; Aminollah Khormali; DaeHun Nyang; David Mohaisen (INFOCOM, 2020)

SketchFlow: Per-Flow Systematic Sampling Using Sketch Saturation Event. - Rhongho Jang; DaeHong Min; Seongkwang Moon; David Mohaisen; DaeHun Nyang (INFOCOM, 2020)

A Deep Learning-based Fine-grained Hierarchical Learning Approach for Robust Malware Classification. - Ahmed Abusnaina; Mohammed Abuhamad; Hisham Alasmary; Afsah Anwar; Rhongho Jang; Saeed Salem; DaeHun Nyang; David Mohaisen (CoRR, 2020)

Catch Me If You Can: Rogue Access Point Detection Using Intentional Channel Interference. - Rhongho Jang; Jeonil Kang; Aziz Mohaisen; DaeHun Nyang (IEEE Trans. Mob. Comput., 2020)

Systemically Evaluating the Robustness of ML-based IoT Malware Detectors. - Ahmed Abusnaina; Afsah Anwar; Sultan Alshamrani; Abdulrahman Alabduljabbar; Rhongho Jang; DaeHun Nyang; David Mohaisen (DSN (Supplements), 2021)

A network-independent tool-based usable authentication system for Internet of Things devices. - Changhun Jung; Jinchun Choi; Rhongho Jang; David Mohaisen; DaeHun Nyang (Comput. Secur., 2021)

ML-based IoT Malware Detection Under Adversarial Settings: A Systematic Evaluation. - Ahmed Abusnaina; Afsah Anwar; Sultan Alshamrani; Abdulrahman Alabduljabbar; RhongHo Jang; Daehun Nyang; David Mohaisen (CoRR, 2021)

Count-Less: A Counting Sketch for the Data Plane of High Speed Switches. - Sunyoung Kim; Changhun Jung; RhongHo Jang; David Mohaisen; DaeHun Nyang (CoRR, 2021)

A Scalable and Dynamic ACL System for In-Network Defense. - Changhun Jung; Sian Kim; Rhongho Jang; David Mohaisen; DaeHun Nyang (CCS, 2022)

Understanding the Security of Free Content Websites by Analyzing their SSL Certificates: A Comparative Study. - Abdulrahman Alabduljabbar; Runyu Ma; Soohyeon Choi; Rhongho Jang; Songqing Chen; David Mohaisen (CySSS@AsiaCCS, 2022)

Minimizing Noise in HyperLogLog-Based Spread Estimation of Multiple Flows. - Dinhnguyen Dao; Rhongho Jang; Changhun Jung; David Mohaisen; DaeHun Nyang (DSN, 2022)

AttCAT: Explaining Transformers via Attentive Class Activation Tokens. - Yao Qiang; Deng Pan 001; Chengyin Li; Xin Li 081; Rhongho Jang; Dongxiao Zhu (NeurIPS, 2022)

Systematically Evaluating the Robustness of ML-based IoT Malware Detection Systems. - Ahmed Abusnaina; Afsah Anwar; Sultan Alshamrani; Abdulrahman Alabduljabbar; RhongHo Jang; DaeHun Nyang; David Mohaisen (RAID, 2022)

Investigating the Effect of Traffic Sampling on Machine Learning-Based Network Intrusion Detection Approaches. - Jumabek Alikhanov; Rhongho Jang; Mohammed Abuhamad; David Mohaisen; Daehun Nyang; Youngtae Noh (IEEE Access, 2022)

DL-FHMC: Deep Learning-Based Fine-Grained Hierarchical Learning Approach for Robust Malware Classification. - Ahmed Abusnaina; Mohammed Abuhamad; Hisham Alasmary; Afsah Anwar; Rhongho Jang; Saeed Salem; DaeHun Nyang; David Mohaisen (IEEE Trans. Dependable Secur. Comput., 2022)

A One-Page Text Entry Method Optimized for Rectangle Smartwatches. - Rhongho Jang; Changhun Jung; David Mohaisen; KyungHee Lee; DaeHun Nyang (IEEE Trans. Mob. Comput., 2022)

A Large-Scale Behavioral Analysis of the Open DNS Resolvers on the Internet. - Jeman Park 001; Rhongho Jang; Manar Mohaisen; David Mohaisen (IEEE/ACM Trans. Netw., 2022)

Untargeted Code Authorship Evasion with Seq2Seq Transformation. - Soohyeon Choi; Rhongho Jang; DaeHun Nyang; David Mohaisen (CSoNet, 2023)

Understanding the Security and Performance of the Web Presence of Hospitals: A Measurement Study. - Mohammed Alkinoon; Abdulrahman Alabduljabbar; Hattan Althebeiti; Rhongho Jang; DaeHun Nyang; David Mohaisen (ICCCN, 2023)

A Robust Counting Sketch for Data Plane Intrusion Detection. - Sian Kim; Changhun Jung; RhongHo Jang; David Mohaisen; DaeHun Nyang (NDSS, 2023)

Measuring and Modeling the Free Content Web. - Abdulrahman Alabduljabbar; Runyu Ma; Ahmed Abusnaina; Rhongho Jang; Songqing Chen; DaeHun Nyang; David Mohaisen (CoRR, 2023)

Enhancing Network Attack Detection with Distributed and In-Network Data Collection System. - Seyed Mohammad Mehdi Mirnajafizadeh; Ashwin Raam Sethuram; David Mohaisen; DaeHun Nyang; Rhongho Jang (USENIX Security Symposium, 2024)

Exposing the Limitations of Machine Learning for Malware Detection Under Concept Drift. - Ahmed Abusnaina; Afsah Anwar; Muhammad Saad 001; Abdulrahman Alabduljabbar; Rhongho Jang; Saeed Salem; David Mohaisen (WISE (2), 2024)

SketchFeature: High-Quality Per-Flow Feature Extractor Towards Security-Aware Data Plane. - Sian Kim; Seyed Mohammad Mehdi Mirnajafizadeh; Bara Kim; Rhongho Jang; DaeHun Nyang (NDSS, 2025)

Enhancing Resiliency of Sketch-based Security via LSB Sharing-based Dynamic Late Merging. - Seungsam Yang; Seyed Mohammad Mehdi Mirnajafizadeh; Sian Kim; Rhongho Jang; DaeHun Nyang (CoRR, 2025)