Skip to content

Jee, Kangkook

Dr. Kangkook Jee

Assistant Professor


  • Ph.D., Computer Science, Columbia University, 2016
  • M.Phil., Computer Science, Columbia University, 2012
  • M.Sc. Computer Science, Columbia University, 2007
  • B.S., Mathematics & Computer Science, Korea University, 2000

Research Interests:

  • System and Network Security
  • Internet of Things (IoT) and SCADA systems
  • Machine Learning/Artificial Intelligence Security

Major Honors and Awards:

  • 2020 IEEE Big Data Security Junior Research Award
  • Business Contribution Award, NEC Japan, 2018
  • CEATEC Award, Innovation for Better Society, CEATEC Japan CPS/IoT Exhibition, 2016
  • 2nd Place Cyber Security for the Next Generation: Americas Round, Kaspersky lab, 2014

Representative Publications:

  • Bk-Propagating System Dependency Impact for Attack Investigation – Pengcheng Fang, Case Western Reserve University; Peng Gao, Virginia Tech; Changlin Liu and Erman Ayday, Case Western Reserve University; Kangkook Jee, University of Texas at Dallas; Ting Wang, Penn State University; Yanfang (Fanny) Ye, Case Western Reserve University; Zhuotao Liu, Tsinghua University; Xusheng Xiao, Case Western Reserve University – 31st USENIX Security Symposium, Aug. 2022
  • Countering Malicious Processes with End-point DNS Monitoring – S. Sivakorn, K. Jee, Y. Sun, L. Kort-Parn, Z. Li, C. Lumezanu, Z. Wu, L. Tang, D. Li In Proceedings of NDSS, Feb. 2019.
  • NoDoze: Combatting Threat Alert Fatigue with Automated Provenance Triage – W. U. Hassan, S. Guo, D. Li, Z. Chen, K. Jee, Z. Li, A. Bates In Proceedings of NDSS, Nov. 2019.
  • NodeMerge: Template Based Efficient Data Reduction For Big-Data Causality Analysis – Y. Tang, D. Li, Z. Li, M. Zhang, K. Jee, Z. Wu, J. Rhee, X. Xiao, F. Xu, Q. Li In Proceedings of CCS, Nov. 2018.
  • ShadowReplica: Efficient Parallelization of Dynamic Data Flow Tracking – K. Jee, V. P. Kemerlis, A. D. Keromytis and G. Portokalidis. In Proceedings of ACM CCS, Nov. 2013.
  • A General Approach for Efficiently Accelerating Software-based Dynamic Data Flow Tracking on Commodity Hardware – K. Jee, G. Portokalidis, V. P. Kemerlis, S. Ghosh, D. I. August, and A. D. Keromytis. In proceedings of NDSS Feb. 2012.

Notable Service:

  • Technical Program Committee Member: ISC 2016 International Conference on Information Security Conference

Previous Profile: Iyer, Rishabh

Next Profile: Jue, Jason

Department of Computer Science