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网络空间安全学院
 SCHOOL OF CYBER SCIENCE AND ENGINEERING
 

Books & Chapters

  1. Beibei Li, Rongxing Lu, and Gaoxi Xiao. "Detection of False Data Injection Attacks in Smart Grid Cyber-Physical Systems". ISBN: 973-3-030-58671-3, Nov. 2020, Springer Nature Press.
  2. Beibei Li, Rongxing Lu, Haiyong Bao. "Behavior Rule Specification-Based False Data Injection Detection Technique for Smart Grid". In Cyber Security for Industrial Control Systems: From the Viewpoint of Close-Loop, pp. 119-150, Apr. 2016, CRC Press.

Selected Journal Articles

  1. Beibei Li, Yuhao Wu, Jiarui Song, Rongxing Lu, Tao Li, Liang Zhao. "DeepFed: Federated Deep Learning for Intrusion Detection in Industrial Cyber-Physical Systems". IEEE Transactions on Industrial Informatics, vol. 17, no. 8, pp. 5615-5624, Aug. 2021. (ESI Hot Cited Paper, ESI Highly Cited Paper)
  2. 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, vol. 16, no. 2, pp. 854-864, Feb. 2020. (ESI Highly Cited Paper)
  3. Hanyuan Huang, Tao Li, Beibei Li*, Wenhao Wang, Yanan Sun. "A Bidirectional Differential Evolution Based Unknown Cyberattack Detection System". IEEE Transactions on Evolutionary Computation, Feb. 2024, DOI: 10.1109/TEVC.2024.3365101.
  4. Weina Niu, Xuhan Liao, Shiping Huang, Yudong Li, Xiaosong Zhang, Beibei Li*. "A Robust Wide & Deep Learning Framework for Log-Based Anomaly Detection". Applied Soft Computing, vol. 153, Mar. 2024.
  5. Weina Niu, Zimu Li, Zhaoxu He, Aduo Wang, Beibei Li*, Xiaosong Zhang. "FSMFLog: Discovering Anomalous Logs Combining Full Semantic Information and Multifeature Fusion". IEEE Internet of Things Journal, vol. 11, no. 3, pp. 4442-4453, Feb. 2024.
  6. Ao Liu, Beibei Li*, Tao Li, Pan Zhou, Rui Wang. "AN-GCN: An Anonymous Graph Convolutional Network Against Edge-Perturbing Attacks". IEEE Transactions on Neural Networks and Learning Systems, vol. 35, no. 1, pp. 88-102, Jan. 2024.
  7. Beibei Li, Ziqing Zhu, Linghao Zhang, Zhengwei Chang, Liang Zhao, Arun Kumar. "EPPSQ: Achieving Efficient and Privacy-Preserving Statistics Queries over Encrypted Data in Smart Grids". Future Generation Computer Systems, vol. 149, pp. 265-279, Dec. 2023.
  8. Hanyuan Huang, Tao Li, Yong Ding, Beibei Li*, Ao Liu. "An Artificial Immunity Based Intrusion Detection System for Unknown Cyberattacks ". Applied Soft Computing, vol. 148, Nov. 2023.
  9. Beibei Li, Yujie Chang, Hanyuan Huang, Wenshan Li, Tao Li, Wen Chen. "Artificial Immunity Based Distributed and Fast Anomaly Detection for Industrial Internet of Things". Future Generation Computer Systems, vol. 148, no. 2023, pp. 367-379, Nov. 2023.
  10. Beibei Li, Yaxin Shi, Qinglei Kong, Qingyun Du, Rongxing Lu. "Incentive-Based Federated Learning for Digital Twin Driven Industrial Mobile Crowdsensing". IEEE Internet of Things Journal, vol. 10, no. 20, pp. 17851-17864, Oct. 2023.
  11. Beibei Li, Peiran Wang, Zerui Shao, Ao Liu, Yukun Jiang, Yizhou Li. "Defending Byzantine Attacks in Ensemble Federated Learning: A Reputation-Based Phishing Approach". Future Generation Computer Systems, vol. 147, pp. 136-148, Oct. 2023.
  12. Beibei Li, Yuqing Guo, Qingyun Du, Ziqing Zhu, Xiaohui Li, Rongxing Lu. "P3: Privacy-Preserving Prediction of Real-time Energy Demands in EV Charging Networks". IEEE Transactions on Industrial Informatics, vol. 19, no. 3, pp. 3029-3038, Mar. 2023.
  13. Beibei Li, Yukun Jiang, Qingqi Pei, Tao Li, Liang Liu, Rongxing Lu. "FEEL: Federated End-to-End Learning with Non-IID Data for Vehicular Ad Hoc Networks". IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 9, pp. 16728-16740, Sept. 2022.
  14. Beibei Li, Rongxing Lu, Gaoxi Xiao, Tao Li, Kim-Kwang Raymond Choo. "Detection of False Data Injection Attacks on Smart Grids: A Resilience-Enhanced Scheme". IEEE Transactions on Power Systems, vol. 37, no. 4, pp. 2679-2692, Jul. 2022.
  15. Beibei Li, Shang Ma, Ruilong Deng, Kim-Kwang Raymond Choo, Jin Yang. "Federated Anomaly Detection on System Logs for the Internet of Things: A Customizable and Communication-Efficient Approach". IEEE Transactions on Network and Service Management, vol. 19, no. 2, pp. 1705-1716, Jun. 2022.
  16. Qinglei Kong, Feng Yin, Rongxing Lu, Beibei Li*, Xiaohong Wang, Shuguang Cui, Ping Zhang. "Privacy-Preserving Aggregation for Federated Learning-Based Navigation in Vehicular Fog". IEEE Transactions on Industrial Informatics, vol. 17, no. 12, pp. 8453-8463, Dec. 2021.
  17. Beibei Li, Yue Xiao, Yaxin Shi, Yuhao Wu, Qinglei Kong, Haiyong Bao. "Anti-Honeypot Enabled Optimal Attack Strategy for Industrial Cyber-Physical Systems". IEEE Open Journal of the Computer Society, vol. 1, pp. 250-261, Oct. 2020.
  18. 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, vol. 3, no. 1, pp. 1-25, Jan. 2019.
  19. 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, vol. 103, pp. 32-41, May 2017.
  20. Beibei Li, Rongxing Lu, Wei Wang, Kim-Kwang Raymond Choo. "DDOA: A Dirichlet-Based Detection Scheme for Opportunistic Attacks in Smart Grid Cyber-Physical System". IEEE Transactions on Information Forensics and Security, vol. 11, no. 11, pp. 2415-2425, Nov. 2016.

Selected Conference Papers

  1. Beibei Li, Peiran Wang, Hanyuan Huang, Shang Ma, Yukun Jiang. "FLPhish: Reputation-Based Phishing Byzantine Defense in Ensemble Federated Learning". IEEE ISCC 2021, Athens, Greece, Sep. 5-8, 2021. (Best Paper Award)
  2. Xinghua Liu, Xiang Yang, Beibei Li*, Yanbin Xu, Hanyuan Huang, Jiaqi Li. "Resilience Enhancement for Transmission Lines with Circuit Breakers under Exogenous Uncertainties". IEEE ICICN 2023, Xi'an, China, Aug. 17-20, 2023. (Best Paper Award)
  3. Ao Liu, Wenshan Li, Tao Li, Beibei Li, Hanyuan Huang, Pan Zhou. "Towards Inductive Robustness: Distilling and Fostering Wave-induced Resonance in Transductive GCNs AgainstGraph Adversarial Attacks". AAAI 2024, Vancouver, Canada, Feb. 20-27, 2024.
  4. Lingfeng Yao, Weina Niu, Qingjun Yuan, Beibei Li, Yanfeng Zhang, Xiaosong Zhang. "A Robust Malicious Traffic Detection Framework with Low-quality Labeled Data". IEEE ICC 2024, Denver, CO, USA, Jun. 9-13, 2024.
  5. Liang Liu, Yuhao He, Lei Zhang, Lin Liu, Beibei Li. "GraphCyber: Identifying IP Usage Scenarios for Cyberspace Mapping". IEEE ICC 2024, Denver, CO, USA, Jun. 9-13, 2024.
  6. Xinkai Wang, Beibei Li, Wanying Dai, Rongkuan Ma, Hanyuan Huang. "A Lightweight Few-Shot Attack Detection Scheme for Industrial Cognitive Radio Networks". IEEE GLOBECOM 2023, Kuala Lumpur, Malaysia, Dec. 04-08, 2023.
  7. Beibei Li, Yaxin Shi, Yuqing Guo, Qinglei Kong, Yukun Jiang. "Incentive and Knowledge Distillation Based Federated Learning for Cross-Silo Applications". IEEE INFOCOM WKSHPS 2022, Virtual Conference, May 2-5, 2022.
  8. Beibei Li, Yaxin Shi, Qinglei Kong, Chao Zhai, Yuankai Ouyang. "Honeypot-Enabled Optimal Defense Strategy Selection for Smart Grids". IEEE GLOBECOM 2021, Madrid, Spain, Dec. 7-11, 2021.
  9. Beibei Li, Yukun Jiang, Wenbin Sun, Weina Niu, Peiran Wang. "FedVANET: Efficient Federated Learning with Non-IID Data for Vehicular Ad Hoc Networks". IEEE GLOBECOM 2021, Madrid, Spain, Dec. 7-11, 2021.
  10. Beibei Li, Qingyun Du, Jiarui Song, Aohan Li, Xiaoxia Ma. "Locating False Data Injection Attacks on Smart Grids Using D-FACTS Devices". ICSOC 2021, Dubai, Nov. 22-25, 2021.
  11. Xiaoxia Ma, Beibei Li, Qinglei Kong, Yuankai Ouyang, Rongxing Lu. "On Secure and Efficient Data Sharing for Smart Grids: An Anti-Collusion Scheme". IEEE ICC 2021, Montreal, QC, Canada, Jun. 14-23 2021.
  12. Yuankai Ouyang, Beibei Li, Qinglei Kong, Han Song, Tao Li. "FS-IDS: A Novel Few-Shot Learning Based Intrusion Detection System for SCADA Networks". IEEE ICC 2021, Montreal, QC, Canada, Jun. 14-23 2021.
  13. Jiarui Song, Beibei Li, Yuhao Wu, Yaxin Shi, Aohan Li. "ReAL: A New ResNet-ALSTM Based Intrusion Detection System for the Internet of Energy". IEEE LCN 2020, Sydney, NSW, Australia, Nov. 16-19, 2020.
  14. Beibei Li, Rongxing Lu, Gaoxi Xiao, Zhou Su, Ali Ghorbani. "PAMA: A Proactive Approach to Mitigate False Data Injection Attacks in Smart Grids". IEEE GLOBECOM 2018, Abu Dhabi, UAE, Dec. 9-13, 2018.
  15. Beibei Li, Rongxing Lu, Gaoxi Xiao. "HMM-Based Fast Detection of False Data Injections in Advanced Metering Infrastructure". IEEE GLOBECOM 2017, Singapore, Dec. 4-8, 2017.
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