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ORCIDBeibei Li 0002
Person information
- affiliation: Sichuan University, Chengdu, China
Other persons with the same name
- Beibei Li — disambiguation page
- Beibei Li 0001
![[0000-0003-2711-9370]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-2711-9370")
— Institute of Software, Chinese Academy of Sciences, Beijing, China - Beibei Li 0003 — Carnegie Mellon University, PA, USA
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2020 – today
- 2024
[j43]Weina Niu, Xuhan Liao, Shiping Huang, Yudong Li, Xiaosong Zhang, Beibei Li:
A robust Wide & Deep learning framework for log-based anomaly detection. Appl. Soft Comput. 153: 111314 (2024)- [j42]Yuxiao Deng, Anqi Wang, Lei Zhang, Ying Lei, Beibei Li, Yizhou Li:
FedRFC: Federated Learning with Recursive Fuzzy Clustering for improved non-IID data training. Future Gener. Comput. Syst. 160: 835-843 (2024) - [j41]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 Things J. 11(3): 4442-4453 (2024) - [j40]Zian Zhang, Haiyong Bao, Rongxing Lu, Cheng Huang, Beibei Li:
KMSQ: Efficient and Privacy-Preserving Keyword-Oriented Multidimensional Similarity Query in eHealthcare. IEEE Internet Things J. 11(5): 7918-7934 (2024) - [j39]Beibei Li, Youtong Chen, Lei Zhang, Licheng Wang, Yanyu Cheng:
HomeSentinel: Intelligent Anti-Fingerprinting for IoT Traffic in Smart Homes. IEEE Trans. Inf. Forensics Secur. 19: 4780-4793 (2024) - [j38]Wanying Dai, Beibei Li, Qingyun Du, Ziqing Zhu, Ao Liu:
Chaos-Based Index-of-Min Hashing Scheme for Cancellable Biometrics Security. IEEE Trans. Inf. Forensics Secur. 19: 8982-8997 (2024) - [j37]Ao Liu, Beibei Li, Tao Li, Pan Zhou, Rui Wang:
AN-GCN: An Anonymous Graph Convolutional Network Against Edge-Perturbing Attacks. IEEE Trans. Neural Networks Learn. Syst. 35(1): 88-102 (2024) - [j36]Jing Wu, Qimei Chen, Hao Jiang, Haozhao Wang, Yulai Xie, Wenzheng Xu, Pan Zhou, Zichuan Xu, Lixing Chen, Beibei Li, Xiumin Wang, Dapeng Oliver Wu:
Joint Power and Coverage Control of Massive UAVs in Post-Disaster Emergency Networks: An Aggregative Game-Theoretic Learning Approach. IEEE Trans. Netw. Sci. Eng. 11(4): 3782-3799 (2024) - [c24]Ao Liu, Wenshan Li, Tao Li, Beibei Li, Hanyuan Huang, Pan Zhou:
Towards Inductive Robustness: Distilling and Fostering Wave-Induced Resonance in Transductive GCNs against Graph Adversarial Attacks. AAAI 2024: 13855-13863 - [c23]Lingfeng Yao, Weina Niu, Qingjun Yuan, Beibei Li, Yanfeng Zhang, Xiaosong Zhang:
A Robust Malicious Traffic Detection Framework with Low-quality Labeled Data. ICC 2024: 2719-2724 - [c22]Liang Liu, Yuhao He, Lei Zhang, Lin Liu, Beibei Li:
GraphCyber: Identifying IP Usage Scenarios for Cyberspace Mapping. ICC 2024: 3310-3315 - [c21]Hanyuan Huang, Beibei Li, Tao Li:
A Cooperative Differential Evolution Based Intrusion Detection System for Unknown Cyberattacks. INFOCOM (Workshops) 2024: 1-2 - [c20]Hangjun Che, Xinyu Pu, Deqiang Ouyang, Beibei Li:
Enhanced Tensorial Self-representation Subspace Learning for Incomplete Multi-view Clustering. ACM Multimedia 2024: 719-728 - [i5]Ao Liu, Wenshan Li, Beibei Li, Wengang Ma, Tao Li, Pan Zhou:
Grimm: A Plug-and-Play Perturbation Rectifier for Graph Neural Networks Defending against Poisoning Attacks. CoRR abs/2412.08555 (2024) - 2023
- [j35]Hanyuan Huang, Tao Li, Yong Ding, Beibei Li, Ao Liu:
An artificial immunity based intrusion detection system for unknown cyberattacks. Appl. Soft Comput. 148: 110875 (2023) - [j34]Weina Niu, Yuheng Luo, Kangyi Ding, Xiaosong Zhang, Yanping Wang, Beibei Li:
A Novel Generation Method for Diverse Privacy Image Based on Machine Learning. Comput. J. 66(3): 540-553 (2023) - [j33]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 Gener. Comput. Syst. 147: 136-148 (2023) - [j32]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 Gener. Comput. Syst. 148: 367-379 (2023) - [j31]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 Gener. Comput. Syst. 149: 265-279 (2023) - [j30]Beibei Li, Yaxin Shi, Qinglei Kong, Qingyun Du, Rongxing Lu:
Incentive-Based Federated Learning for Digital-Twin-Driven Industrial Mobile Crowdsensing. IEEE Internet Things J. 10(20): 17851-17864 (2023) - [j29]Meng Huang, Tao Li, Beibei Li, Nian Zhang, Hanyuan Huang:
Fast Attack Detection Method for Imbalanced Data in Industrial Cyber-Physical Systems. J. Artif. Intell. Soft Comput. Res. 13(4): 229-245 (2023) - [j28]Beibei Li, Yuqing Guo, Qingyun Du, Ziqing Zhu, Xiaohui Li, Rongxing Lu:
$\bm {P}^{\bm {3}}$: Privacy-Preserving Prediction of Real-Time Energy Demands in EV Charging Networks. IEEE Trans. Ind. Informatics 19(3): 3029-3038 (2023) - [c19]Zhongbai Jiang, Yanwei Sun, Beibei Li, Bowen Sun, Shenduo Xiong, Yehao Li, Wenyue Du:
Threat-Aware Data Transmission in Software-Defined Networks. DSC 2023: 443-449 - [c18]Xinkai Wang, Beibei Li, Wanying Dai, Rongkuan Ma, Hanyuan Huang:
A Lightweight Few-Shot Attack Detection Scheme for Industrial Cognitive Radio Networks. GLOBECOM 2023: 964-969 - [c17]Youlin Li, Weina Niu, Yukun Zhu, Jiacheng Gong, Beibei Li, Xiaosong Zhang:
Fuzzing Logical Bugs in eBPF Verifier with Bound-Violation Indicator. ICC 2023: 753-758 - [i4]Beibei Li, Zerui Shao, Ao Liu, Peiran Wang:
FedCliP: Federated Learning with Client Pruning. CoRR abs/2301.06768 (2023) - [i3]Xiang Li, Guoqi Li, Leitao Gao, Beibei Li, Gaoxi Xiao:
Sufficient Control of Complex Networks. CoRR abs/2303.05772 (2023) - [i2]Ao Liu, Wenshan Li, Tao Li, Beibei Li, Hanyuan Huang, Guangquan Xu, Pan Zhou:
Graph Agent Network: Empowering Nodes with Decentralized Communications Capabilities for Adversarial Resilience. CoRR abs/2306.06909 (2023) - [i1]Ao Liu, Wenshan Li, Tao Li, Beibei Li, Hanyuan Huang, Pan Zhou:
Towards Inductive Robustness: Distilling and Fostering Wave-induced Resonance in Transductive GCNs Against Graph Adversarial Attacks. CoRR abs/2312.08651 (2023) - 2022
- [j27]Liang Liu, Lin Liu, Beibei Li, Yi Zhong, Shan Liao, Lei Zhang:
MSCCS: A Monero-based security-enhanced covert communication system. Comput. Networks 205: 108759 (2022) - [j26]Jinghong Lan, Xudong Liu, Bo Li, Jie Sun, Beibei Li, Jun Zhao:
MEMBER: A multi-task learning model with hybrid deep features for network intrusion detection. Comput. Secur. 123: 102919 (2022) - [j25]Haiyong Bao, Binbin Ren, Beibei Li, Qinglei Kong:
BBNP: A Blockchain-Based Novel Paradigm for Fair and Secure Smart Grid Communications. IEEE Internet Things J. 9(15): 12984-12996 (2022) - [j24]Yuchuan Deng, Hao Jiang, Peijing Cai, Tong Wu, Pan Zhou, Beibei Li, Hao Lu, Jing Wu, Xin Chen, Kehao Wang:
Resource Provisioning for Mitigating Edge DDoS Attacks in MEC-Enabled SDVN. IEEE Internet Things J. 9(23): 24264-24280 (2022) - [j23]Hang Zhu, Weina Niu, Xuhan Liao, Xiaosong Zhang, Xiaofen Wang, Beibei Li, Zheyuan He:
Attacker Traceability on Ethereum through Graph Analysis. Secur. Commun. Networks 2022: 3448950:1-3448950:12 (2022) - [j22]Yanyu Cheng, Kwok Hung Li, Kah Chan Teh, Sheng Luo, Beibei Li:
Two-Tier NOMA-Based Wireless Powered Communication Networks. IEEE Syst. J. 16(3): 4698-4707 (2022) - [j21]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 Trans. Intell. Transp. Syst. 23(9): 16728-16740 (2022) - [j20]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 Trans. Netw. Serv. Manag. 19(2): 1705-1716 (2022) - [c16]Weina Niu, Zhenqi Yu, Zimu Li, Beibei Li, Runzi Zhang, Xiaosong Zhang:
LogTracer: Efficient Anomaly Tracing Combining System Log Detection and Provenance Graph. GLOBECOM 2022: 3356-3361 - [c15]Beibei Li, Yaxin Shi, Yuqing Guo, Qinglei Kong, Yukun Jiang:
Incentive and Knowledge Distillation Based Federated Learning for Cross-Silo Applications. INFOCOM Workshops 2022: 1-6 - [c14]Chuhan Liu, Wei Yan, Fengkai Xu, Wenlong Yang, Beibei Li:
User Behavior Simulation in ICS Cyber Ranges. PST 2022: 1-5 - [c13]Jie Li, Weina Niu, Ran Yan, Zhiqin Duan, Beibei Li, Xiaosong Zhang:
IDROP: Intelligently detecting Return-Oriented Programming using real-time execution flow and LSTM. TrustCom 2022: 167-174 - 2021
- [j19]Junjiang He, Wen Chen, Tao Li, Beibei Li, Yongbin Zhu, Meng Huang:
HD-NSA: A real-valued negative selection algorithm based on hierarchy division. Appl. Soft Comput. 112: 107726 (2021) - [j18]Junjiang He, Tao Li, Beibei Li, Xiaolong Lan, Zhiyong Li, Yunpeng Wang:
An immune-based risk assessment method for digital virtual assets. Comput. Secur. 102: 102134 (2021) - [j17]Yunhua Huang, Tao Li, Lijia Zhang, Beibei Li, Xiaojie Liu:
JSContana: Malicious JavaScript detection using adaptable context analysis and key feature extraction. Comput. Secur. 104: 102218 (2021) - [j16]Haiyong Bao, Beibei Li:
A novel privacy preserving data aggregation scheme with data integrity and fault tolerance for smart grid communications. Frontiers Comput. Sci. 15(5): 155812 (2021) - [j15]Yihong Li, Yunpeng Wang, Tao Li, Beibei Li, Xiaolong Lan:
SP-SMOTE: A novel space partitioning based synthetic minority oversampling technique. Knowl. Based Syst. 228: 107269 (2021) - [j14]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 Trans. Ind. Informatics 17(8): 5615-5624 (2021) - [j13]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 Trans. Ind. Informatics 17(12): 8453-8463 (2021) - [c12]Beibei Li, Yukun Jiang, Wenbin Sun, Weina Niu, Peiran Wang:
FedVANET: Efficient Federated Learning with Non-IID Data for Vehicular Ad Hoc Networks. GLOBECOM 2021: 1-6 - [c11]Beibei Li, Yaxin Shi, Qinglei Kong, Chao Zhai, Yuankai Ouyang:
Honeypot-Enabled Optimal Defense Strategy Selection for Smart Grids. GLOBECOM 2021: 1-6 - [c10]Qinglei Kong, Feng Yin, Yue Xiao, Beibei Li, Xuejia Yang, Shuguang Cui:
Achieving Blockchain-based Privacy-Preserving Location Proofs under Federated Learning. ICC 2021: 1-6 - [c9]Xiaoxia Ma, Beibei Li, Qinglei Kong, Yuankai Ouyang, Rongxing Lu:
On Secure and Efficient Data Sharing for Smart Grids: An Anti-Collusion Scheme. ICC 2021: 1-6 - [c8]Yuankai Ouyang, Beibei Li, Qinglei Kong, Han Song, Tao Li:
FS-IDS: A Novel Few-Shot Learning Based Intrusion Detection System for SCADA Networks. ICC 2021: 1-6 - [c7]Beibei Li, Qingyun Du, Jiarui Song, Aohan Li, Xiaoxia Ma:
Locating False Data Injection Attacks on Smart Grids Using D-FACTS Devices. ICSOC 2021: 287-301 - [c6]Beibei Li, Peiran Wang, Hanyuan Huang, Shang Ma, Yukun Jiang:
FLPhish: Reputation-based Phishing Byzantine Defense in Ensemble Federated Learning. ISCC 2021: 1-6 - 2020
- [b1]Beibei Li, Rongxing Lu, Gaoxi Xiao:
Detection of False Data Injection Attacks in Smart Grid Cyber-Physical Systems. Wireless Networks, Springer 2020, ISBN 978-3-030-58671-3, pp. 1-151 - [j12]Yong Fang, Wenjie Zhang, Beibei Li, Fan Jing, Lei Zhang:
Semi-Supervised Malware Clustering Based on the Weight of Bytecode and API. IEEE Access 8: 2313-2326 (2020) - [j11]Min Meng, Gaoxi Xiao, Beibei Li:
Adaptive consensus for heterogeneous multi-agent systems under sensor and actuator attacks. Autom. 122: 109242 (2020) - [j10]Beibei Li, Yue Xiao, Yaxin Shi, Qinglei Kong, Yuhao Wu, Haiyong Bao:
Anti-Honeypot Enabled Optimal Attack Strategy for Industrial Cyber-Physical Systems. IEEE Open J. Comput. Soc. 1: 250-261 (2020) - [j9]Jiale Wu, Mi Wen, Rongxing Lu, Beibei Li, Jinguo Li:
Toward efficient and effective bullying detection in online social network. Peer-to-Peer Netw. Appl. 13(5): 1567-1576 (2020) - [j8]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 Trans. Ind. Informatics 16(2): 854-864 (2020) - [c5]Jiarui Song, Beibei Li, Yuhao Wu, Yaxin Shi, Aohan Li:
ReAL: A New ResNet-ALSTM Based Intrusion Detection System for the Internet of Energy. LCN 2020: 491-496 - [c4]Hui Guo, Shuguang Huang, Min Zhang, Zulie Pan, Fan Shi, Cheng Huang, Beibei Li:
Classification of Malware Variant Based on Ensemble Learning. ML4CS (1) 2020: 125-139
2010 – 2019
- 2019
- [j7]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 7: 137968-137981 (2019) - [j6]Beibei Li, Rongxing Lu, Gaoxi Xiao, Haiyong Bao, Ali A. Ghorbani:
Towards insider threats detection in smart grid communication systems. IET Commun. 13(12): 1728-1736 (2019) - [j5]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. Inf. Sci. 498: 91-105 (2019) - [j4]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 Trans. Cyber Phys. Syst. 3(1): 10:1-10:25 (2019) - 2018
- [c3]Beibei Li, Rongxing Lu, Gaoxi Xiao, Zhou Su, Ali A. Ghorbani:
PAMA: A Proactive Approach to Mitigate False Data Injection Attacks in Smart Grids. GLOBECOM 2018: 1-6 - [c2]Mi Wen, Donghuan Yao, Beibei Li, Rongxing Lu:
State Estimation Based Energy Theft Detection Scheme with Privacy Preservation in Smart Grid. ICC 2018: 1-6 - 2017
- [j3]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. J. Parallel Distributed Comput. 103: 32-41 (2017) - [c1]Beibei Li, Rongxing Lu, Gaoxi Xiao:
HMM-Based Fast Detection of False Data Injections in Advanced Metering Infrastructure. GLOBECOM 2017: 1-6 - 2016
- [j2]Haiyong Bao, Rongxing Lu, Beibei Li, Ruilong Deng:
BLITHE: Behavior Rule-Based Insider Threat Detection for Smart Grid. IEEE Internet Things J. 3(2): 190-205 (2016) - [j1]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 Trans. Inf. Forensics Secur. 11(11): 2415-2425 (2016)
Coauthor Index
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