Mixed-mode Information Flow Tracking with Compile-time Taint Semantics Extraction and Offline Replay

Jan 30, 2021
PDF DOI
Yu-Hsin Hung, Bing-Jhong Jheng, Hong-Wei Li, Wen-Yang Lai, Sanoop Mallissery, and Yu-Sung Wu, "Mixed-mode Information Flow Tracking with Compile-time Taint Semantics Extraction and Offline Replay," 2021 IEEE Conference on Dependable and Secure Computing (DSC), Aizuwakamatsu, Fukushima, Japan, 2021, pp. 1-8, doi: 10.1109/DSC49826.2021.9346239.
BibTeX
@inproceedings{9346239,
  author={Hung, Yu-Hsin and Jheng, Bing-Jhong and Li, Hong-Wei and Lai, 
  Wen-Yang and Mallissery, Sanoop and Wu, Yu-Sung},
  booktitle={2021 IEEE Conference on Dependable and Secure Computing (DSC)}, 
  title={Mixed-mode Information Flow Tracking with Compile-time Taint 
  Semantics Extraction and Offline Replay}, 
  year={2021},
  pages={1-8},
  doi={10.1109/DSC49826.2021.9346239}
}
Information Flow Tracking (IFT) Static Information Flow Analysis (IFA) Dynamic Information Flow Tracking (DIFT) Mixed-Mode Tracking Taint Analysis Data Provenance Checking Anomaly Detection
Sanoop Mallissery, Ph.D.
Sanoop Mallissery, Ph.D.

Lecturer

School of Information Technology

My research interests include advancing dependable systems security, privacy preservation, and cybersecurity in Operational Technology (OT) and Industrial Control Systems (ICS).