BLITHE: Behavior Rule-Based Insider Threat Detection for Smart Grid. - Haiyong Bao; Rongxing Lu; Beibei Li 002; Ruilong Deng (IEEE Internet Things J., 2016)

DDOA: A Dirichlet-Based Detection Scheme for Opportunistic Attacks in Smart Grid Cyber-Physical System. - Beibei Li 002; Rongxing Lu; Wei Wang 100; Kim-Kwang Raymond Choo (IEEE Trans. Inf. Forensics Secur., 2016)

HMM-Based Fast Detection of False Data Injections in Advanced Metering Infrastructure. - Beibei Li 002; Rongxing Lu; Gaoxi Xiao (GLOBECOM, 2017)

Distributed host-based collaborative detection for false data injection attacks in smart grid cyber-physical system. - Beibei Li 002; Rongxing Lu; Wei Wang 100; Kim-Kwang Raymond Choo (J. Parallel Distributed Comput., 2017)

PAMA: A Proactive Approach to Mitigate False Data Injection Attacks in Smart Grids. - Beibei Li 002; Rongxing Lu; Gaoxi Xiao; Zhou Su; Ali A. Ghorbani 001 (GLOBECOM, 2018)

State Estimation Based Energy Theft Detection Scheme with Privacy Preservation in Smart Grid. - Mi Wen; Donghuan Yao; Beibei Li 002; Rongxing Lu (ICC, 2018)

Security and Efficiency Enhanced Revocable Access Control for Fog-Based Smart Grid System. - Mi Wen; Shan Chen; Rongxing Lu; Beibei Li 002; Sijia Chen (IEEE Access, 2019)

Towards insider threats detection in smart grid communication systems. - Beibei Li 002; Rongxing Lu; Gaoxi Xiao; Haiyong Bao; Ali A. Ghorbani 001 (IET Commun., 2019)

Efficient privacy-preserving data merging and skyline computation over multi-source encrypted data. - Yandong Zheng; Rongxing Lu; Beibei Li 002; Jun Shao 001; Haomiao Yang; Kim-Kwang Raymond Choo (Inf. Sci., 2019)

On Reliability Analysis of Smart Grids under Topology Attacks: A Stochastic Petri Net Approach. - Beibei Li 002; Rongxing Lu; Kim-Kwang Raymond Choo; Wei Wang 100; Sheng Luo 001 (ACM Trans. Cyber Phys. Syst., 2019)

ReAL: A New ResNet-ALSTM Based Intrusion Detection System for the Internet of Energy. - Jiarui Song; Beibei Li 002; Yuhao Wu; Yaxin Shi; Aohan Li (LCN, 2020)

Classification of Malware Variant Based on Ensemble Learning. - Hui Guo; Shuguang Huang; Min Zhang 054; Zulie Pan; Fan Shi; Cheng Huang 001; Beibei Li 002 (ML4CS (1), 2020)

Semi-Supervised Malware Clustering Based on the Weight of Bytecode and API. - Yong Fang 002; Wenjie Zhang; Beibei Li 002; Fan Jing; Lei Zhang 101 (IEEE Access, 2020)

Adaptive consensus for heterogeneous multi-agent systems under sensor and actuator attacks. - Min Meng 003; Gaoxi Xiao; Beibei Li 002 (Autom., 2020)

Anti-Honeypot Enabled Optimal Attack Strategy for Industrial Cyber-Physical Systems. - Beibei Li 002; Yue Xiao; Yaxin Shi; Qinglei Kong; Yuhao Wu; Haiyong Bao (IEEE Open J. Comput. Soc., 2020)

Toward efficient and effective bullying detection in online social network. - Jiale Wu; Mi Wen; Rongxing Lu; Beibei Li 002; Jinguo Li (Peer-to-Peer Netw. Appl., 2020)

On Feasibility and Limitations of Detecting False Data Injection Attacks on Power Grid State Estimation Using D-FACTS Devices. - Beibei Li 002; Gaoxi Xiao; Rongxing Lu; Ruilong Deng; Haiyong Bao (IEEE Trans. Ind. Informatics, 2020)

Detection of False Data Injection Attacks in Smart Grid Cyber-Physical Systems - Beibei Li 002; Rongxing Lu; Gaoxi Xiao (Springer, 2020)

FedVANET: Efficient Federated Learning with Non-IID Data for Vehicular Ad Hoc Networks. - Beibei Li 002; Yukun Jiang 001; Wenbin Sun; Weina Niu; Peiran Wang (GLOBECOM, 2021)

Honeypot-Enabled Optimal Defense Strategy Selection for Smart Grids. - Beibei Li 002; Yaxin Shi; Qinglei Kong; Chao Zhai 002; Yuankai Ouyang (GLOBECOM, 2021)

Achieving Blockchain-based Privacy-Preserving Location Proofs under Federated Learning. - Qinglei Kong; Feng Yin; Yue Xiao; Beibei Li 002; Xuejia Yang; Shuguang Cui (ICC, 2021)

On Secure and Efficient Data Sharing for Smart Grids: An Anti-Collusion Scheme. - Xiaoxia Ma; Beibei Li 002; Qinglei Kong; Yuankai Ouyang; Rongxing Lu (ICC, 2021)

FS-IDS: A Novel Few-Shot Learning Based Intrusion Detection System for SCADA Networks. - Yuankai Ouyang; Beibei Li 002; Qinglei Kong; Han Song; Tao Li 016 (ICC, 2021)

Locating False Data Injection Attacks on Smart Grids Using D-FACTS Devices. - Beibei Li 002; Qingyun Du; Jiarui Song; Aohan Li; Xiaoxia Ma (ICSOC, 2021)

FLPhish: Reputation-based Phishing Byzantine Defense in Ensemble Federated Learning. - Beibei Li 002; Peiran Wang; Hanyuan Huang; Shang Ma; Yukun Jiang 001 (ISCC, 2021)

HD-NSA: A real-valued negative selection algorithm based on hierarchy division. - Junjiang He; Wen Chen 025; Tao Li 016; Beibei Li 002; Yongbin Zhu; Meng Huang (Appl. Soft Comput., 2021)

An immune-based risk assessment method for digital virtual assets. - Junjiang He; Tao Li 016; Beibei Li 002; Xiaolong Lan; Zhiyong Li; Yunpeng Wang (Comput. Secur., 2021)

JSContana: Malicious JavaScript detection using adaptable context analysis and key feature extraction. - Yunhua Huang; Tao Li 016; Lijia Zhang; Beibei Li 002; Xiaojie Liu (Comput. Secur., 2021)

A novel privacy preserving data aggregation scheme with data integrity and fault tolerance for smart grid communications. - Haiyong Bao; Beibei Li 002 (Frontiers Comput. Sci., 2021)

SP-SMOTE: A novel space partitioning based synthetic minority oversampling technique. - Yihong Li; Yunpeng Wang; Tao Li 016; Beibei Li 002; Xiaolong Lan (Knowl. Based Syst., 2021)

Privacy-Preserving Aggregation for Federated Learning-Based Navigation in Vehicular Fog. - Qinglei Kong; Feng Yin; Rongxing Lu; Beibei Li 002; Xiaohong Wang; Shuguang Cui; Ping Zhang 003 (IEEE Trans. Ind. Informatics, 2021)

DeepFed: Federated Deep Learning for Intrusion Detection in Industrial Cyber-Physical Systems. - Beibei Li 002; Yuhao Wu; Jiarui Song; Rongxing Lu; Tao Li 016; Liang Zhao 020 (IEEE Trans. Ind. Informatics, 2021)

LogTracer: Efficient Anomaly Tracing Combining System Log Detection and Provenance Graph. - Weina Niu; Zhenqi Yu; Zimu Li; Beibei Li 002; Runzi Zhang; Xiaosong Zhang 001 (GLOBECOM, 2022)

Incentive and Knowledge Distillation Based Federated Learning for Cross-Silo Applications. - Beibei Li 002; Yaxin Shi; Yuqing Guo; Qinglei Kong; Yukun Jiang 001 (INFOCOM Workshops, 2022)

User Behavior Simulation in ICS Cyber Ranges. - Chuhan Liu; Wei Yan; Fengkai Xu; Wenlong Yang; Beibei Li 002 (PST, 2022)

IDROP: Intelligently detecting Return-Oriented Programming using real-time execution flow and LSTM. - Jie Li; Weina Niu; Ran Yan; Zhiqin Duan; Beibei Li 002; Xiaosong Zhang 001 (TrustCom, 2022)

MSCCS: A Monero-based security-enhanced covert communication system. - Liang Liu 009; Lin Liu; Beibei Li 002; Yi Zhong; Shan Liao; Lei Zhang 101 (Comput. Networks, 2022)

MEMBER: A multi-task learning model with hybrid deep features for network intrusion detection. - Jinghong Lan; Xudong Liu 001; Bo Li 005; Jie Sun 035; Beibei Li 002; Jun Zhao 017 (Comput. Secur., 2022)

BBNP: A Blockchain-Based Novel Paradigm for Fair and Secure Smart Grid Communications. - Haiyong Bao; Binbin Ren; Beibei Li 002; Qinglei Kong (IEEE Internet Things J., 2022)

Resource Provisioning for Mitigating Edge DDoS Attacks in MEC-Enabled SDVN. - Yuchuan Deng; Hao Jiang 010; Peijing Cai; Tong Wu; Pan Zhou 001; Beibei Li 002; Hao Lu; Jing Wu 016; Xin Chen; Kehao Wang 001 (IEEE Internet Things J., 2022)

Attacker Traceability on Ethereum through Graph Analysis. - Hang Zhu; Weina Niu; Xuhan Liao; Xiaosong Zhang 001; Xiaofen Wang; Beibei Li 002; Zheyuan He (Secur. Commun. Networks, 2022)

Two-Tier NOMA-Based Wireless Powered Communication Networks. - Yanyu Cheng; Kwok Hung Li; Kah Chan Teh; Sheng Luo 001; Beibei Li 002 (IEEE Syst. J., 2022)

FEEL: Federated End-to-End Learning With Non-IID Data for Vehicular Ad Hoc Networks. - Beibei Li 002; Yukun Jiang 001; Qingqi Pei; Tao Li 016; Liang Liu 009; Rongxing Lu (IEEE Trans. Intell. Transp. Syst., 2022)

Federated Anomaly Detection on System Logs for the Internet of Things: A Customizable and Communication-Efficient Approach. - Beibei Li 002; Shang Ma; Ruilong Deng; Kim-Kwang Raymond Choo; Jin Yang (IEEE Trans. Netw. Serv. Manag., 2022)

Threat-Aware Data Transmission in Software-Defined Networks. - Zhongbai Jiang; Yanwei Sun; Beibei Li 002; Bowen Sun; Shenduo Xiong; Yehao Li; Wenyue Du (DSC, 2023)

A Lightweight Few-Shot Attack Detection Scheme for Industrial Cognitive Radio Networks. - Xinkai Wang; Beibei Li 002; Wanying Dai; Rongkuan Ma; Hanyuan Huang (GLOBECOM, 2023)

Fuzzing Logical Bugs in eBPF Verifier with Bound-Violation Indicator. - Youlin Li; Weina Niu; Yukun Zhu; Jiacheng Gong; Beibei Li 002; Xiaosong Zhang 001 (ICC, 2023)

FedCliP: Federated Learning with Client Pruning. - Beibei Li 002; Zerui Shao; Ao Liu 005; Peiran Wang (CoRR, 2023)

Sufficient Control of Complex Networks. - Xiang Li 113; Guoqi Li; Leitao Gao; Beibei Li 002; Gaoxi Xiao (CoRR, 2023)

Graph Agent Network: Empowering Nodes with Decentralized Communications Capabilities for Adversarial Resilience. - Ao Liu 005; Wenshan Li 001; Tao Li 016; Beibei Li 002; Hanyuan Huang; Guangquan Xu; Pan Zhou 001 (CoRR, 2023)

Defending Byzantine attacks in ensemble federated learning: A reputation-based phishing approach. - Beibei Li 002; Peiran Wang; Zerui Shao; Ao Liu 005; Yukun Jiang 001; Yizhou Li (Future Gener. Comput. Syst., 2023)

A Novel Generation Method for Diverse Privacy Image Based on Machine Learning. - Weina Niu; Yuheng Luo; Kangyi Ding; Xiaosong Zhang 001; Yanping Wang; Beibei Li 002 (Comput. J., 2023)

$ bm {P}^{ bm {3}}$: Privacy-Preserving Prediction of Real-Time Energy Demands in EV Charging Networks. - Beibei Li 002; Yuqing Guo; Qingyun Du; Ziqing Zhu; Xiaohui Li; Rongxing Lu (IEEE Trans. Ind. Informatics, 2023)

Incentive-Based Federated Learning for Digital-Twin-Driven Industrial Mobile Crowdsensing. - Beibei Li 002; Yaxin Shi; Qinglei Kong; Qingyun Du; Rongxing Lu (IEEE Internet Things J., 2023)

Fast Attack Detection Method for Imbalanced Data in Industrial Cyber-Physical Systems. - Meng Huang; Tao Li 016; Beibei Li 002; Nian Zhang; Hanyuan Huang (J. Artif. Intell. Soft Comput. Res., 2023)

An artificial immunity based intrusion detection system for unknown cyberattacks. - Hanyuan Huang; Tao Li 016; Yong Ding; Beibei Li 002; Ao Liu 005 (Appl. Soft Comput., 2023)

Artificial immunity based distributed and fast anomaly detection for Industrial Internet of Things. - Beibei Li 002; Yujie Chang; Hanyuan Huang; Wenshan Li 001; Tao Li 016; Wen Chen 025 (Future Gener. Comput. Syst., 2023)

EPPSQ: Achieving efficient and privacy-preserving statistics queries over encrypted data in smart grids. - Beibei Li 002; Ziqing Zhu; Linghao Zhang; Zhengwei Chang; Liang Zhao 020; Arun Kumar 006 (Future Gener. Comput. Syst., 2023)

Towards Inductive Robustness: Distilling and Fostering Wave-Induced Resonance in Transductive GCNs against Graph Adversarial Attacks. - Ao Liu 005; Wenshan Li 001; Tao Li 016; Beibei Li 002; Hanyuan Huang; Pan Zhou 001 (AAAI, 2024)

GraphCyber: Identifying IP Usage Scenarios for Cyberspace Mapping. - Liang Liu 009; Yuhao He; Lei Zhang 101; Lin Liu; Beibei Li 002 (ICC, 2024)

A Robust Malicious Traffic Detection Framework with Low-quality Labeled Data. - Lingfeng Yao; Weina Niu; Qingjun Yuan; Beibei Li 002; Yanfeng Zhang; Xiaosong Zhang 001 (ICC, 2024)

A Cooperative Differential Evolution Based Intrusion Detection System for Unknown Cyberattacks. - Hanyuan Huang; Beibei Li 002; Tao Li 016 (INFOCOM (Workshops), 2024)

Enhanced Tensorial Self-representation Subspace Learning for Incomplete Multi-view Clustering. - Hangjun Che; Xinyu Pu; Deqiang Ouyang; Beibei Li 002 (ACM Multimedia, 2024)

A robust Wide & Deep learning framework for log-based anomaly detection. - Weina Niu; Xuhan Liao; Shiping Huang; Yudong Li; Xiaosong Zhang 001; Beibei Li 002 (Appl. Soft Comput., 2024)

FedRFC: Federated Learning with Recursive Fuzzy Clustering for improved non-IID data training. - Yuxiao Deng; Anqi Wang 008; Lei Zhang 101; Ying Lei; Beibei Li 002; Yizhou Li (Future Gener. Comput. Syst., 2024)

KMSQ: Efficient and Privacy-Preserving Keyword-Oriented Multidimensional Similarity Query in eHealthcare. - Zian Zhang; Haiyong Bao; Rongxing Lu; Cheng Huang 001; Beibei Li 002 (IEEE Internet Things J., 2024)

Chaos-Based Index-of-Min Hashing Scheme for Cancellable Biometrics Security. - Wanying Dai; Beibei Li 002; Qingyun Du; Ziqing Zhu; Ao Liu 005 (IEEE Trans. Inf. Forensics Secur., 2024)

HomeSentinel: Intelligent Anti-Fingerprinting for IoT Traffic in Smart Homes. - Beibei Li 002; Youtong Chen; Lei Zhang 101; Licheng Wang; Yanyu Cheng (IEEE Trans. Inf. Forensics Secur., 2024)

Joint Power and Coverage Control of Massive UAVs in Post-Disaster Emergency Networks: An Aggregative Game-Theoretic Learning Approach. - Jing Wu 016; Qimei Chen; Hao Jiang 010; Haozhao Wang; Yulai Xie; Wenzheng Xu; Pan Zhou 001; Zichuan Xu; Lixing Chen; Beibei Li 002; Xiumin Wang; Dapeng Oliver Wu (IEEE Trans. Netw. Sci. Eng., 2024)

AN-GCN: An Anonymous Graph Convolutional Network Against Edge-Perturbing Attacks. - Ao Liu 005; Beibei Li 002; Tao Li 016; Pan Zhou 001; Rui Wang 070 (IEEE Trans. Neural Networks Learn. Syst., 2024)

FSMFLog: Discovering Anomalous Logs Combining Full Semantic Information and Multifeature Fusion. - Weina Niu; Zimu Li; Zhaoxu He; Aduo Wang; Beibei Li 002; Xiaosong Zhang 001 (IEEE Internet Things J., 2024)

Grimm: A Plug-and-Play Perturbation Rectifier for Graph Neural Networks Defending Against Poisoning Attacks. - Ao Liu 005; Wenshan Li 001; Beibei Li 002; Wengang Ma; Tao Li 016; Pan Zhou 001 (AAAI, 2025)

Multi-Pair Temporal Sentence Grounding via Multi-Thread Knowledge Transfer Network. - Xiang Fang; Wanlong Fang; Changshuo Wang 001; Daizong Liu; Keke Tang; Jianfeng Dong; Pan Zhou 001; Beibei Li 002 (AAAI, 2025)

Graph Agent Network: Empowering Nodes with Inference Capabilities for Adversarial Resilience. - Ao Liu 005; Wenshan Li 001; Tao Li 016; Beibei Li 002; Guangquan Xu; Pan Zhou 001; Wengang Ma; Hanyuan Huang (AAAI, 2025)

Enhancing the Open Network: Definition and Automated Detection of Smart Contract Defects. - Hao Song; Teng Li; Jiachi Chen; Ting Chen 002; Beibei Li 002; Zhangyan Lin; Yi Lu; Pan Li; Xihan Zhou (ICSE, 2025)

FedUFD: Personalized Edge Computing Using Federated Uncertainty-Driven Feature Distillation. - Zerui Shao; Beibei Li 002; Zhibo Wang; Yanbing Yang; Peiran Wang; Jun Luo (INFOCOM, 2025)

TAMT: Privacy-Preserving Task Assignment With Multi-Threshold Range Search for Spatial Crowdsourcing Applications. - Haiyong Bao; Zhehong Wang; Rongxing Lu; Cheng Huang 001; Beibei Li 002 (IEEE Trans. Big Data, 2025)

A Bidirectional Differential Evolution-Based Unknown Cyberattack Detection System. - Hanyuan Huang; Tao Li 016; Beibei Li 002; Wenhao Wang 001; Yanan Sun 001 (IEEE Trans. Evol. Comput., 2025)

FedLoRE: Communication-Efficient and Personalized Edge Intelligence Framework via Federated Low-Rank Estimation. - Zerui Shao; Beibei Li 002; Peiran Wang; Yi Zhang 018; Kim-Kwang Raymond Choo (IEEE Trans. Parallel Distributed Syst., 2025)

Beyond the Protocol: Unveiling Attack Vectors in the Model Context Protocol Ecosystem. - Hao Song; Yiming Shen; Wenxuan Luo; Leixin Guo; Ting Chen 002; Jiashui Wang; Beibei Li 002; Xiaosong Zhang 001; Jiachi Chen (CoRR, 2025)

Phone-to-EDU: A Smart Contract-Based Framework for Comprehensive Management of GAI-Assisted Programming Courses. - Tao Liu; Hao Song; Leixin Guo; Beibei Li 002; Zhangyan Lin; Yuchen Gao; Wenfei Ge (IEEE Internet Things J., 2025)

A feature selection method based on clonal selection with beneficial noise. - Wenshan Li 001; Chenyi Huang; Ao Liu 005; Yilin Zhang; Beibei Li 002; Junjiang He; Wenbo Fang; Hongxia Wang (Pattern Recognit., 2026)