Beibei Li is a Associate professor ,Sichuan University,China

Beibei Li

Associate professor

Organizing Committee


Sichuan University


Beibei Li is currently an Associate Professor at the College of Cybersecurity, Sichuan University, P.R. China. He received his B.E. degree (awarded Outstanding Graduate) in communication engineering from Beijing University of Posts and Telecommunications, P.R. China, in 2014, and his Ph.D. degree (awarded Full Research Scholarship) from the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, in 2019. He was invited as a visiting researcher at the Faculty of Computer Science, University of New Brunswick, Canada, from March to August 2018 and also the research group of NEtworked Sensing and Control (NESC), College of Control Science and Engineering, Zhejiang University, P.R. China, from February to April 2019.


  • Beibei Li, Gaoxi Xiao, Rongxing Lu, Ruilong Deng, Haiyong Bao. “On Feasibility and Limitations of Detecting False Data Injection Attacks on Power Grid State Estimation Using D-FACTS Devices”. IEEE Transactions on Industrial Informatics, early access.
  • Beibei Li, Rongxing Lu, Wei Wang, Kim-Kwang Raymond Choo. “DDOA: A Dirichlet-based Detection Scheme for Curriculum Vitae: Beibei Li Opportunistic Attacks in Smart Grid Cyber-Physical System”. IEEE Transactions on Information Forensics and Security.
  • Beibei Li, Rongxing Lu, Kim-Kwang Raymond Choo, Wei Wang, Sheng Luo. “On Reliability Analysis of Smart Grids under Topology Attacks: A Stochastic Petri Net Approach”. ACM Transactions on Cyber-Physical Systems.
  • Beibei Li, Rongxing Lu, Wei Wang, Kim-Kwang Raymond Choo. “Distributed Host-based Collaborative Detection for False Data Injection Attacks in Smart Grid Cyber-Physical System”. Journal of Parallel and Distributed Computing.
  • Beibei Li, Rongxing Lu, Gaoxi Xiao, Haiyong Bao, Ali A. Ghorbani, “Towards Insider Threats Detection in Smart Grid Communication Systems”. IET Communications.
  • Haiyong Bao, Beibei Li*. "A novel privacy-preserving data aggregation scheme with data integrity and fault tolerance for smart grid communications". Frontiers of Computer Science.
  • Haiyong Bao, Rongxing Lu, Beibei Li, Ruilong Deng. “BLITHE: Behavior Rule-Based Insider Threat Detection for Smart Grid”. IEEE Internet of Things Journal.
  • Yandong Zheng, Rongxing Lu, Beibei Li, Jun Shao, Haomiao Yang, Kim-Kwang Raymond Choo. “Efficient Privacy-Preserving Data Merging and Skyline Computation over Multi-Source Encrypted Data”, Information Sciences.
  • Yong Fang, Wenjie Zhang, Beibei Li, Fan Jing, Lei Zhang. "Semi-supervised Malware Clustering Based on the Weight of Bytecode and API". IEEE Access.
  • Mi Wen, Shan Chen, Rongxing Lu, Beibei Li, Sijia Chen. “Security and Efficiency Enhanced Revocable Access Control for Fog-based Smart Grid System”, IEEE Access, to appear.
  • Min Meng, Gaoxi Xiao, Beibei Li. “Adaptive Consensus for Heterogeneous Multi-agent Systems under Sensor and Actuator attacks”, IFAC Automatica, accepted.
  • Jiale Wu, Wen Mi, Rongxing Lu, Beibei Li, Jinguo Li. "Toward Efficient and Effective Bullying Detection in Online Social Network". Peer-to-Peer Networking and Applications.
  • Yong Fang, Yuetian Zeng, Beibei Li, Liang Liu, Lei Zhang. "DeepDetectNet vs RLAttackNet: An Adversarial Method to Improve Deep Learning-based Static Malware Detection Model". PLOS ONE.


Nanyang Technological University (NTU), Singapore, Doctor of Philosophy (Ph.D.)

Beijing University of Posts & Telecommunications (BUPT), Beijing, China, B.Eng. in Communication Engineering


His research interests span several areas in the security and privacy issues on cyber-physical systems (e.g., smart grids, industrial control systems, intelligent transportation systems, etc.), with a focus on intrusion detection techniques, artificial intelligence, and applied cryptography. He is serving or has served as a Publication Co-Chair and a TPC member for several international conferences, including IEEE GLOBECOM, IEEE ICNC, PST, WCSP, and ML4CS, etc. His research studies have been published in IEEE Trans. on Information Forensics and Security, IEEE Trans. on Industrial Informatics, ACM Trans. on Cyber-Physical Systems, IEEE Internet of Things J., IFACAutomatica, Information Sciences, IEEE ICC, and IEEE GLOBECOM, etc.

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