S3 Lab - Software & Systems Security Laboratory
John Junghwan Rhee

John Junghwan Rhee

Affiliated Faculty
areas of interest security, program analysis, operating systems, cyber-physical systems, trusted computing, binary analysis & instrumentation
email jhrhee at gmail.com
web rhee.systems

John Junghwan Rhee is an Associate Professor in the Department of Computer Science at the University of Central Oklahoma. His research lies in system security, software security, cyber-physical system, ICS/IoT security, system provenance, cloud security, and end-host security. He previously worked as a senior researcher at NEC Laboratories America for nine years. For more information, please see his web page.

publications with s3 lab

PASAN: Detecting Peripheral Access Concurrency Bugs within Bare-metal Embedded Applications (to appear)
Taegyu Kim, Vireshwar Kumar, John Junghwan Rhee, Jizhou Chen, Kyungtae Kim, Chung Hwan Kim, Dongyan Xu, and Dave (Jing) Tian
In Security 2021 [ bibtex ]
Vessels: Efficient and Scalable Deep Learning Prediction on Trusted Processors
Kyungtae Kim, Chung Hwan Kim, John Junghwan Rhee, Xiao Yu, Haifeng Chen, Dave (Jing) Tian, and Byoungyoung Lee
In SOCC 2020 [ pdf :: slides :: bibtex ]
Detecting Malware Injection with Program-DNS Behavior
Yixin Sun, Kangkook Jee, Suphannee Sivakorn, Zhichun Li, Cristian Lumezanu, Lauri Korts-Pàˆrn, Zhenyu Wu, John Junghwan Rhee, Chung Hwan Kim, Mung Chiang, and Prateek Mittal
In EuroS&P 2020 [ pdf :: bibtex ]
RVFuzzer: Finding Input Validation Bugs in Robotic Vehicles through Control-Guided Testing
Taegyu Kim, Chung Hwan Kim, John Junghwan Rhee, Fan Fei, Zhan Tu, Gregory Walkup, Xiangyu Zhang, Xinyan Deng, and Dongyan Xu
In Security 2019 [ pdf :: slides :: bibtex ]
IntroPerf: Transparent Context-Sensitive Multi-Layer Performance Inference using System Stack Traces
Chung Hwan Kim, John Junghwan Rhee, Hui Zhang, Nipun Arora, Guofei Jiang, Xiangyu Zhang, and Dongyan Xu
In SIGMETRICS 2014 [ pdf :: slides :: bibtex ]