Fengjun Li Fengjun Li

School of Engineering - Electrical Engineering and Computer Science
Associate Professor
Primary office:
2032 Eaton Hall
Lawrence 66045
Second office:
235 Nichols


Primary Research Interests:

  • IoT Security and privacy
  • Adversarial Machine Learning
  • Social network privacy
  • Network security
  • Secure data sharing and publishing

Link to Personal Website


  • Ph.D. in Information Sciences and Technology, Pennsylvania State University, 2010
  • M.Phil. in Information Engineering, the Chinese University of Hong Kong, 2004
  • B.E. in Automation with honor, University of Science and Technology of China, 2001


  • Information Security and Assurance
  • Network Security
  • IoT Security

Selected Publications

  • Abdulmalik Humayed, Fengjun Li, Jingqiang Lin, and Bo Luo, "CANSentry: Securing CAN-Based Cyber-Physical Systems against Denial and Spoofing Attacks," in European Symposium on Research in Computer Security (ESORICS), 2020.
  • Bingyu Li, Jingqiang Lin, Fengjun Li, Qiongxiao Wang, Qi Li, Jiwu Jin and Congli Wang, “Certificate Transparency in the Wild: Exploring the Reliability of Monitor,” in ACM Computer and Communications Security (CCS), London, UK, Nov 11-15, 2019
  •  Qiaozhi Wang, Hao Xue, Fengjun Li, Dongwon Lee, and Bo Luo, “#DontTweetThis: Scoring Private Information in Social Networks,” in the 19th Privacy Enhancing Technologies Symposium (PETS), vol 4, Stockholm, Sweden, July 15-16, 2019.
  •  Lei Yang, Chris Seasholtz, Fengjun Li, and Bo Luo, “Hide Your Hackable Smart Home from Remote Attacks: The Multipath Onion IoT Gateways," in European Symposium on Research in Computer Security (ESORICS), Barcelona, Spain, 2018.
  •  Abdulmalik Humayed, Jingqiang Lin, Fengjun Li and Bo Luo. “Cyber-Physical Systems Security – A Survey,” in IEEE Internet of Things Journal, Volume: 4 Issue: 6, 2017.

Link to full publications

Selected Awards & Honors

  • Miller Award for Service, School of Engineering, University of Kansas, 2020
  • Bellows Scholar Award, School of Engineering, University of Kansas, 2019
  • Excellent Service Recognition, Annual IFIP WG 11.3 Conference on Data and Application Security and Privacy, 2017
  • Miller Scholar Award, School of Engineering, University of Kansas, 2016
  • Best Paper Award, EAI International Conference on Security and Privacy in Communication Networks, 2015
  • Kansas NSF EPSCoR First Award, 2014
  • Best Poster Award, 4th Central Area Networking and Security Workshop, 2013
  • Outstanding Bachelor Thesis Award, University of Science and Technology of China, 2001

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