姓名：李贝贝
导师类别：博士/硕士研究生导师
职称/职务：研究员/院长助理
电子邮箱：libeibei[AT]scu.edu.cn
个人主页：li-beibei.github.io 或 researchgate.net/profile/Beibei-Li-4
研究方向：工业互联网/工业控制系统/智能电网安全、数据安全与隐私计算、人工智能安全
人才招募：欢迎对相关方向感兴趣的博士后、博士生、硕士生、本科生加入课题组开展合作研究
个人简介
李贝贝，研究员，博士/硕士研究生导师，3200威尼斯vip院长助理。2014年7月本科毕业于北京邮电大学，2019年3月博士毕业于新加坡南洋理工大学（NTU），师从Rongxing Lu教授和Gaoxi Xiao教授，分别于2018年3至8月受邀到加拿大网络空间安全研究所（CIC）Ali A. Ghorbani教授团队以及2019年2月至4月到工业控制技术国家重点实验室浙江大学陈积明教授和程鹏教授团队从事访问研究。2019年4月作为特聘副研究员加入3200威尼斯vip，并在李涛教授指导下完成博士后研究工作，2023年破格晋升为研究员。2019年入选人社部博士后国(境)外交流计划(引进项目)，2020年入选四川省高层次人才引进计划，2023年入选斯坦福大学全球前2%顶尖科学家（World's Top 2% Scientists）榜单。
项目资助
n “基于基因演化的网络未知威胁自适应发现技术研究”，国家重点研发计划项目子课题，国家科学技术部，2020YFB1805403-2，2020.11 - 2024.10，主持。
n “基于免疫的工业互联网未知网络威胁发现技术研究”，国家自然科学基金面上项目，国家自然科学基金委，62372313，2024.01 - 2027.12，主持。
n “面向泛在电力物联网的网络威胁智能发现技术研究”，国家自然科学基金青年科学基金项目，国家自然科学基金委，62002248，2021.01 - 2023.12，主持。
n “智能电网网络威胁入侵检测技术研究”，博士后国(境)外交流计划(引进项目)，中国博士后科学基金会，YJ20190206，2020.01 - 2021.12，主持。
n “针对智能电网中内网攻击威胁的检测和防御技术研究”，中国博士后科学基金特别资助(站前)项目，中国博士后科学基金会，2019TQ0217，2019.07 - 2021.06，主持。
n “基于人工免疫的电力系统网络风险评估技术研究”，中国博士后科学基金面上项目，中国博士后科学基金会，2020M673277，2020.07 - 2022.06，主持。
n “工业互联网动态安全防护关键技术及应用”，四川省区域创新合作项目，四川省科学技术厅，2024.01 - 2025.12，主持。
n “网络安全靶场演训平台开发”，四川省高新技术领域重点研发项目，四川省科学技术厅，2020YFG0133，2020.01 - 2021.12，主持。
n “工业互联网安全与智能管理平台关键技术研究与应用”，四川省高新技术领域重点研发项目，四川省科学技术厅，2023YFG0113，2023.01 - 2024.12，联合单位主持。
n “工业互联网多维异构数据管控平台关键技术研究”，四川省高新技术领域重点研发项目，四川省科学技术厅，2022YFG0193，2022.01 - 2023.12，核心骨干（排名第二）。
代表性学术成果
Ø 专著及章节
B1. Beibei Li, Rongxing Lu, and Gaoxi Xiao. "Detection of False Data Injection Attacks in Smart Grid Cyber-Physical Systems". Nov. 2020, Springer Nature.
B2. 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.
Ø 期刊论文
J1. 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)
J2. Beibei Li, Gaoxi Xiao, Rongxing Lu, Ruilong Deng, Haiyong Bao. "On Feasibility and Limitations of Detecting False Data Injection Attacks on Smart Grids Using D-FACTS Devices". IEEE Transactions on Industrial Informatics, vol. 12, no. 2, pp. 854-864, Feb. 2020. (ESI Highly Cited Paper)
J3. 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.
J4. 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.
J5. 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.
J6. 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.
J7. 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.
J8. 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.
J9. 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.
J10. 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.
J11. 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.
J12. 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.
J13. 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.
J14. 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.
J15. 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.
J16. 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.
J17. 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.
J18. 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.
J19. 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.
J20. Min Meng, Gaoxi Xiao, Beibei Li. "Adaptive Consensus for Heterogeneous Multi-agent Systems under Sensor and Actuator Attacks". Automatica, vol. 122, Dec. 2020.
Ø 会议论文
C1. 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, Sept. 5-8, 2021. (Best Paper Award)
C2. 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)
C3. 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.
C4. 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.
C5. 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.
C6. 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. 4-8, 2023.
C7. 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, New York, United States, May 2-5, 2022 (Virtual).
C8. 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.
C9. Beibei Li, Yukun Jiang, Wenbin Sun, Weina Niu, Peiran Wang. "FedVANET: Efficient Federated Learning with Non-IID Data for Vehicular Ad Hoc Netoworks". IEEE GLOBECOM 2021, Madrid, Spain, Dec. 7-11, 2021.
C10. 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 (Virtual).
C11. 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.
C12. 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.
C13. 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, Australia, Nov. 16-19, 2020 (Virtual).
C14. Beibei Li, Rongxing Lu, Gaoxi Xiao, Zhou Su, Ali A. Ghorbani. "PAMA: A Proactive Approach to Mitigate False Data Injection Attacks in Smart Grids". IEEE GLOBECOM 2018, Abu Dhabi, UAE, Dec. 9-13, 2018.
C15. 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.
Ø 发明专利
P1. Beibei Li, Tao Li, Yuankai Ouyang, Xiaoxia Ma, Hanyuan Huang, Qingyun Du. "Few-shot Learning Based Intrusion Detection Method of Industrial Control System", Date of Patent: 2021.09.20, Patent ID: US11218502B1, U.S Patent.
P2. 李贝贝，周计，徐可意，李涛，朱永彬. "一种数据增量备份方法、装置、设备及存储介质"，授权时间：2023.06.29，专利号：ZL202110899198.1.
P3. 李贝贝，郭宇清，毛红晶，李涛，何俊江. "人工免疫模型获得方法和终端设备"，授权时间：2023.02.10，专利号：ZL202110893763.3.
P4. 李贝贝，陈又铜，印一聪，赵辉，欧阳远凯. "基于区块链的数据完整性验证方法、系统、设备及介质"，授权时间：2022.01.04，专利号：ZL202111111851.X.
P5. 李贝贝，石雅歆，徐彦斌，印一聪，李志勇. "一种基于区块链的数据备份方法、装置、设备及存储介质"，授权时间：2021.12.31，专利号：ZL202111110619.4.
P6. 李贝贝，马小霞，李涛，刘晓洁，赵辉，印一聪. "一种面向智能电网共谋性虚假数据注入攻击的检测方法"，授权时间：2021.06.22，专利号：ZL201911278060.9.
P7. 李贝贝，印一聪，武玉豪，宋佳芮，欧阳远凯，马小霞. "一种面向能源互联网的入侵检测系统及其方法"，授权时间：2021.06.22，专利号：ZL202010737804.5.
P8. 李贝贝，欧阳远凯，马小霞，兰小龙，赵亮，杨进. "一种基于小样本学习的工业控制系统入侵检测方法"，授权时间：2020.12.25，专利号：ZL202011007316.5.
P9. 李贝贝，朱子青，方智阳，邵泽瑞，石雅歆，陈阳. "支持隐私保护的异常检测模型生成方法、装置及设备"，申请时间：2023.03.06，申请号：202310209806.0.
P10. 李贝贝，杜卿芸，李晓慧，常玉洁，刘翱，黄翰媛. "基于深度学习的网络异常检测方法、装置、设备及介质"，申请时间：2023.03.06，申请号：202310207251.6.
P11. 李贝贝，简欣娅，王海林，张文彧，朱君. "一种基于智能合约的Token化电子处方流转方法"，申请时间：2021.08.06，申请号：202110900545.8.
P12. 李贝贝，杜卿芸，李涛，高飞, 黄猛. "一种工业物联网入侵检测方法、装置、设备及存储介质"，申请时间：2021.08.06，申请号：202110906425.9.
P13. 李贝贝，宋佳芮，武玉豪，朱永彬，黄猛，石雅欣. "面向工业信息物理系统的入侵检测模型建立方法"，申请时间：2020.08.19，申请号：202010839735.9.
P14. 徐彦斌，李贝贝，李涛，黄瀚媛，刘翱. "一种数据恢复方法、装置、设备及存储介质"，授权时间：2021.12.31，专利号：ZL202111110656.5.
P15. 李涛，李贝贝，刘翱，李汶珊，兰小龙，何俊江，赵辉，陈文. "基于基因进化演化的未知网络威胁自适应发现方法"，申请时间：2023.02.16，申请号：202310126391.0.
国际学术服务
Ø 国际期刊编委（Journal Editors）
· Associate Editor, Journal of Information Processing Systems, Jan. 2024 - present
· Guest Editor, Sensors Journal, with the Special Issue titled "Security and Privacy for Machine Learning Applications", Jan. 2023 - Jan. 2024
· Guest Editor, Sensors Journal, with the Special Issue titled "Security and Privacy of the Internet of Things for Industrial Applications", Mar. 2023 - Nov. 2023
· Guest Associate Editor, Frontiers in Blockchain Journal, with the Research Topic entitled "Blockchain based Privacy-Preserving Mechanisms in V2G System", Sep. 2021 - Jan. 2022
Ø 国际会议组委会委员（Conference Organizing Committee Member）
· Track Chair, IEEE International Conference on Information, Communication and Networks (ICICN) 2023
· Track Chair, Annual International Conference on Privacy, Security and Trust (PST) 2022
· Publicity Co-Chair, IEEE International Conference on High Performance Computing & Communications (HPCC) 2021
· Publicity Chair, IEEE International Conference on Advanced and Trusted Computing (ATC) 2021
· Publication Co-Chair, International Annual Conference on Privacy, Security and Trust (PST) 2020
Ø 国际会议技术委员会委员（TPC Member）
· IEEE Global Communications Conference (GLOBECOM) 2024
· Annual International Conference on Privacy, Security and Trust (PST) 2024
· International Joint Conference on Artificial Intelligence (IJCAI) 2024
· International Conference on Networking and Services (ICNS) 2024
· IEEE International Conference on Communications (ICC) 2024
· IEEE International Symposium on Parallel and Distributed Processing with Applicaitons (ISPA) 2023
· IEEE Global Communications Conference (GLOBECOM) 2023
· IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) 2023
· IEEE International Conference on Communications (ICC) 2023
· International Conference on Computing, Networking and Communications (ICNC) 2023
· IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) 2022
· IEEE Symposium on Computers and Communications (ISCC) 2022
· International Conference on Knowledge Science, Engineering and Management (KSEM) 2022
· IEEE Global Communications Conference (GLOBECOM) 2022
· IEEE International Conference on Communications (ICC) 2022
· IEEE Global Communications Conference (GLOBECOM) 2021
· IEEE International Conference on Communications (ICC) 2021
Ø 国际学会技术委员会委员（Society TC Member）
· Communications and Information Security Technical Committee, IEEE Computer Society
· Smart Grid Communications Technical Committee, IEEE Computer Society
· Security and Privacy Technical Community, IEEE Computer Society
· Electronic Power Grid Systems Security Technical Committee, IEEE Power Electronics Society
· Control and Modeling of Power Electronics Technical Committee, IEEE Power Electronics Society
Ø 国际学术期刊和会议审稿人（Reviewer）
· IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
· IEEE Transactions on Information Forensics and Security (TIFS)
· IEEE Transactions on Dependable and Secure Computing (TDSC)
· IEEE Transactions on Systems, Man and Cybernetics: Systems (TSMCA)
· IEEE Transactions on Industrial Informatics (TII)
· IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
· IEEE Journal on Selected Areas in Communications (JSAC)
· IEEE Transactions on Smart Grid (TSG)
· IEEE Transactions on Power Systems (TPWRS)
· IEEE Transactions on Wireless Communications (TWC)
· IEEE Internet of Things Journal (IoT-J)
· IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
· International Joint Conference on Artificial Intelligence (IJCAI)
· The AAAI Conference on Artificial Intelligence (AAAI)
· IEEE Global Communications Conference (GLOBECOM)
· IEEE International Conference on Communications (ICC)
人才培养
课程讲授：为本科生讲授《计算机组成与体系结构 Computer Organization and Architecture》、《网络空间安全新技术专题》、《网络安全综合实验》以及吴玉章学院《Seminar研讨课程》等课程，为博士研究生讲授《工业控制系统安全 Cybersecurity for Industrial Control Systems》、《网络空间安全学科前沿》、《电子信息前沿》等课程，荣获3200威尼斯vip“课堂教学质量优秀奖”和“‘探究式-小班化’教学质量优秀奖”等称号。
竞赛指导：指导本科生多次获得全国大学生信息安全竞赛作品赛、中国高校计算机大赛-网络技术挑战赛、中国软件杯-大学生软件设计大赛、大学生创新创业训练计划等竞赛活动的国家级、区域级奖励，荣获3200威尼斯vip“大学生创新创业与实践教育优秀指导教师”、竞赛主办方“优秀指导老师”等称号。
科研指导：指导的本科生共同在IEEE TII、IEEE TITS、IEEE TNSM、FGCS、IEEE GLOBECOM、IEEE ISCC、IEEE LCN等学术期刊和会议发表高水平研究成果，多次入选ESI热点论文、高被引论文及会议最佳论文等，学生多次获得“本科优秀毕业论文（设计）奖”；指导的本科生到清华大学、中国科学技术大学、香港科技大学（HKUST）、澳门大学（UM）、德国亥姆霍茲信息安全中心（CISPA）、美国圣路易斯华盛顿大学（WUSTL）及新加坡国立大学（NUS）等国(境)内外知名高校继续深造，荣获“3200威尼斯vip好未来优秀学者奖”、“3200威尼斯vip本科优秀毕业论文（设计）指导教师”、“3200威尼斯vip2023年度优秀班主任”等称号。
学生就业：指导的研究生毕业后在政府、央企、国企以及腾讯微信（深圳）、阿里国际（杭州）、飞猪旅行（杭州）、华为（成都）、理想汽车（北京）、中信银行（成都）、招商银行（成都）、贵州习酒（贵阳）等单位就业。
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