Education

Ph.D in Computer Science, University of Central Florida, 2020
Ph.D in Computer Science and Engineering, INHA University, South Korea, 2020

Work experience

Spring 2024: Academic Pages Collaborator
- Github University
- Duties includes: Updates and improvements to template
- Supervisor: The Users
Fall 2015: Research Assistant
- Github University
- Duties included: Merging pull requests
- Supervisor: Professor Hub
Summer 2015: Research Assistant
- Github University
- Duties included: Tagging issues
- Supervisor: Professor Git

Skills

Skill 1
Skill 2
- Sub-skill 2.1
- Sub-skill 2.2
- Sub-skill 2.3
Skill 3

Publications

Enhancing Network Attack Detection with Distributed and In-Network Data Collection System

A Robust Counting Sketch for Data Plane Intrusion Detection

Sian Kim, Changhun Jung, RhongHo Jang, David Mohaisen, DaeHun Nyang, "A Robust Counting Sketch for Data Plane Intrusion Detection." The Internet Society NDSS, 2023.

Untargeted Code Authorship Evasion with Seq2Seq Transformation

Soohyeon Choi, Rhongho Jang, DaeHun Nyang, David Mohaisen, "Untargeted Code Authorship Evasion with Seq2Seq Transformation." Springer 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, "Understanding the Security and Performance of the Web Presence of Hospitals: A Measurement Study." IEEE ICCCN, 2023.

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, "Understanding the Security of Free Content Websites by Analyzing their SSL Certificates: A Comparative Study." ACM CySSS@AsiaCCS, 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, "Systematically Evaluating the Robustness of ML-based IoT Malware Detection Systems." ACM RAID, 2022.

Minimizing Noise in HyperLogLog-Based Spread Estimation of Multiple Flows

Dinhnguyen Dao, Rhongho Jang, Changhun Jung, David Mohaisen, DaeHun Nyang, "Minimizing Noise in HyperLogLog-Based Spread Estimation of Multiple Flows." IEEE DSN, 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, "DL-FHMC: Deep Learning-Based Fine-Grained Hierarchical Learning Approach for Robust Malware Classification." IEEE Trans. Dependable Secur. Comput., 2022.

AttCAT: Explaining Transformers via Attentive Class Activation Tokens

Yao Qiang, Deng Pan, Chengyin Li, Xin Li, Rhongho Jang, Dongxiao Zhu, "AttCAT: Explaining Transformers via Attentive Class Activation Tokens." In the proceedings of NeurIPS, 2022.

A Scalable and Dynamic ACL System for In-Network Defense

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

A One-Page Text Entry Method Optimized for Rectangle Smartwatches

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

A Large-Scale Behavioral Analysis of the Open DNS Resolvers on the Internet

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., 2022.

Systemically Evaluating the Robustness of ML-based IoT Malware Detectors

Ahmed Abusnaina, Afsah Anwar, Sultan Alshamrani, Abdulrahman Alabduljabbar, Rhongho Jang, DaeHun Nyang, David Mohaisen, "Systemically Evaluating the Robustness of ML-based IoT Malware Detectors." IEEE 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, "A network-independent tool-based usable authentication system for Internet of Things devices." Comput. Secur., 2021.

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, "Soteria: Detecting Adversarial Examples in Control Flow Graph-based Malware Classifiers." IEEE ICDCS, 2020.

SketchFlow: Per-Flow Systematic Sampling Using Sketch Saturation Event

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

DFD: Adversarial Learning-based Approach to Defend Against Website Fingerprinting

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

Catch Me If You Can: Rogue Access Point Detection Using Intentional Channel Interference

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., 2020.

InstaMeasure: Instant Per-flow Detection Using Large In-DRAM Working Set of Active Flows

Rhongho Jang, Seongkwang Moon, Youngtae Noh, Aziz Mohaisen, DaeHun Nyang, "InstaMeasure: Instant Per-flow Detection Using Large In-DRAM Working Set of Active Flows." IEEE 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, "A cost-effective anomaly detection system using in-DRAM working set of active flows table: poster." ACM WiSec, 2019.

Two-level network monitoring and management in WLAN using software-defined networking: poster

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

Rogue Access Point Detector Using Characteristics of Channel Overlapping in 802.11n

RhongHo Jang, Jeonil Kang, Aziz Mohaisen, DaeHun Nyang, "Rogue Access Point Detector Using Characteristics of Channel Overlapping in 802.11n." IEEE Computer Society ICDCS, 2017.

RFlow+: An SDN-based WLAN monitoring and management framework

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

Highly-accurate rogue access point detection using intentional channel interference: poster

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

Service and leadership

Currently signed in to 43 different slack teams

Rhongho Jang