Rhongho Jang

Biography

Rhongho Jang is an assistant professor in the department of computer science at Wayne State University. He received his Ph.D. in the department of computer science at the University of Central Florida, in 2020. He also received his B.S., M.E, and Ph.D. (first) from the Inha University of South Korea in 2013, 2015, and 2020, respectively. To date, he published several peer-reviewed research papers in top-tier conferences and premier journals, such as IEEE INFOCOM, IEEE ICDCS, and IEEE/ACM ToN, EEE TMC, etc. As public services, he is serving as a PC member in MSN 2021 and publicity chair in ICDCS 2021, served as a web chair in ACM CoNEXT 2019, and a reviewer in IEEE TPDS, IEEE TMC, IEEE TNSM, IEEE ToN, ETRI Journal, etc.

Education

Ph.D. 2020, University of Central Florida (Computer Science)

Ph.D. 2020, Inha Univeristy (Computer Science and  Enginnering)

Courses Taught

CSC 3020 - Java Programming, Fall 2021

CSC 5290 - Cyber Security Practice, Fall 2020

CSC 5991 - Network Programmability and Applications, Winter 2021, 2022

Research Interests

Security & Privacy, Network Measurement, Software-defined Networking, Counting Algorithm, Applied Machine Learning

Publications

Recent Publications:
  • [DSN 2021 Fast Abstracts] Systemically Evaluating the Robustness of ML-based IoT Malware Detectors, Best Paper Award
  • [IEEE/ACM ToN 2021] A Large-Scale Behavioral Analysis of the Open DNS Resolvers on the Internet
  • [IEEE TDSC 2021] Deep Learning-based Fine-grained Hierarchical Learning Approach for Robust Malware Classification
  • [COSE 2021] A Network-independent Tool-based Usable Authentication System for Internet of Things Devices
  • [IEEE TMC 2021] A One-Page Text Entry Method Optimized for Rectangle Smartwatches
  • [INFOCOM 2020] SketchFlow: Per-Flow Systematic Sampling Using Sketch Saturation Event
  • [INFOCOM 2020] Deep Fingerprinting Defender: Adversarial Learning-based Approach to Defend Against Website Fingerprinting
  • [ICDCS 2020] Soteria: Detecting Adversarial Examples in Control Flow Graph-based Malware Classifiers
  • [IEEE TMC 2020] Catch Me If You Can: Rogue Access Point Detection Using Intentional Channel Interference
  • [ICDCS 2019] InstaMeasure: Instant Per-flow Detection Using Large In-DRAM Working Set of Active Flows

Awards and Honors

2021 Best Paper Award, DSN 2021-Fast Abstrats

2018 Outstanding Young Researcher Award, KISA

2017 Best-In-Session Presentation Award (SDN II), INFOCOM

Other Professional Experience

TPC member: IEEE MSN 2021, CSoNet 2021

Journal reviewer: ACM/IEEE ToN, TMC, TPDS, TCC, TNSM, ETRI Journal, etc.

Virtual Conference Chair: ACM CCS 2021, Publicity chair: IEEE ICDCS 2021, Web chair: ACM CoNEXT 2019.

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