Beibei Li
Orcid: 0000-0002-0485-1975Affiliations:
- Sichuan University, Chengdu, China
According to our database1,
Beibei Li
authored at least 58 papers
between 2016 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
FSMFLog: Discovering Anomalous Logs Combining Full Semantic Information and Multifeature Fusion.
IEEE Internet Things J., February, 2024
IEEE Trans. Neural Networks Learn. Syst., January, 2024
KMSQ: Efficient and Privacy-Preserving Keyword-Oriented Multidimensional Similarity Query in eHealthcare.
IEEE Internet Things J., 2024
Towards Inductive Robustness: Distilling and Fostering Wave-Induced Resonance in Transductive GCNs against Graph Adversarial Attacks.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
EPPSQ: Achieving efficient and privacy-preserving statistics queries over encrypted data in smart grids.
Future Gener. Comput. Syst., December, 2023
Artificial immunity based distributed and fast anomaly detection for Industrial Internet of Things.
Future Gener. Comput. Syst., November, 2023
Appl. Soft Comput., November, 2023
Fast Attack Detection Method for Imbalanced Data in Industrial Cyber-Physical Systems.
J. Artif. Intell. Soft Comput. Res., October, 2023
Incentive-Based Federated Learning for Digital-Twin-Driven Industrial Mobile Crowdsensing.
IEEE Internet Things J., October, 2023
$\bm {P}^{\bm {3}}$: Privacy-Preserving Prediction of Real-Time Energy Demands in EV Charging Networks.
IEEE Trans. Ind. Informatics, March, 2023
Comput. J., March, 2023
Defending Byzantine attacks in ensemble federated learning: A reputation-based phishing approach.
Future Gener. Comput. Syst., 2023
Graph Agent Network: Empowering Nodes with Decentralized Communications Capabilities for Adversarial Resilience.
CoRR, 2023
Proceedings of the IEEE International Conference on Communications, 2023
Proceedings of the 8th International Conference on Data Science in Cyberspace, 2023
2022
Federated Anomaly Detection on System Logs for the Internet of Things: A Customizable and Communication-Efficient Approach.
IEEE Trans. Netw. Serv. Manag., 2022
IEEE Trans. Intell. Transp. Syst., 2022
Secur. Commun. Networks, 2022
IEEE Internet Things J., 2022
BBNP: A Blockchain-Based Novel Paradigm for Fair and Secure Smart Grid Communications.
IEEE Internet Things J., 2022
Comput. Networks, 2022
IDROP: Intelligently detecting Return-Oriented Programming using real-time execution flow and LSTM.
Proceedings of the IEEE International Conference on Trust, 2022
Proceedings of the 19th Annual International Conference on Privacy, Security & Trust, 2022
Incentive and Knowledge Distillation Based Federated Learning for Cross-Silo Applications.
Proceedings of the IEEE INFOCOM 2022, 2022
LogTracer: Efficient Anomaly Tracing Combining System Log Detection and Provenance Graph.
Proceedings of the IEEE Global Communications Conference, 2022
2021
DeepFed: Federated Deep Learning for Intrusion Detection in Industrial Cyber-Physical Systems.
IEEE Trans. Ind. Informatics, 2021
Privacy-Preserving Aggregation for Federated Learning-Based Navigation in Vehicular Fog.
IEEE Trans. Ind. Informatics, 2021
SP-SMOTE: A novel space partitioning based synthetic minority oversampling technique.
Knowl. Based Syst., 2021
JSContana: Malicious JavaScript detection using adaptable context analysis and key feature extraction.
Comput. Secur., 2021
Comput. Secur., 2021
Appl. Soft Comput., 2021
Proceedings of the IEEE Symposium on Computers and Communications, 2021
Proceedings of the Service-Oriented Computing - 19th International Conference, 2021
FS-IDS: A Novel Few-Shot Learning Based Intrusion Detection System for SCADA Networks.
Proceedings of the ICC 2021, 2021
Proceedings of the ICC 2021, 2021
Achieving Blockchain-based Privacy-Preserving Location Proofs under Federated Learning.
Proceedings of the ICC 2021, 2021
Proceedings of the IEEE Global Communications Conference, 2021
FedVANET: Efficient Federated Learning with Non-IID Data for Vehicular Ad Hoc Networks.
Proceedings of the IEEE Global Communications Conference, 2021
2020
Wireless Networks, Springer, ISBN: 978-3-030-58671-3, 2020
On Feasibility and Limitations of Detecting False Data Injection Attacks on Power Grid State Estimation Using D-FACTS Devices.
IEEE Trans. Ind. Informatics, 2020
Peer-to-Peer Netw. Appl., 2020
IEEE Open J. Comput. Soc., 2020
Adaptive consensus for heterogeneous multi-agent systems under sensor and actuator attacks.
Autom., 2020
IEEE Access, 2020
ReAL: A New ResNet-ALSTM Based Intrusion Detection System for the Internet of Energy.
Proceedings of the 45th IEEE Conference on Local Computer Networks, 2020
2019
On Reliability Analysis of Smart Grids under Topology Attacks: A Stochastic Petri Net Approach.
ACM Trans. Cyber Phys. Syst., 2019
Efficient privacy-preserving data merging and skyline computation over multi-source encrypted data.
Inf. Sci., 2019
IET Commun., 2019
Security and Efficiency Enhanced Revocable Access Control for Fog-Based Smart Grid System.
IEEE Access, 2019
2018
State Estimation Based Energy Theft Detection Scheme with Privacy Preservation in Smart Grid.
Proceedings of the 2018 IEEE International Conference on Communications, 2018
Proceedings of the IEEE Global Communications Conference, 2018
2017
Distributed host-based collaborative detection for false data injection attacks in smart grid cyber-physical system.
J. Parallel Distributed Comput., 2017
HMM-Based Fast Detection of False Data Injections in Advanced Metering Infrastructure.
Proceedings of the 2017 IEEE Global Communications Conference, 2017
2016
DDOA: A Dirichlet-Based Detection Scheme for Opportunistic Attacks in Smart Grid Cyber-Physical System.
IEEE Trans. Inf. Forensics Secur., 2016
IEEE Internet Things J., 2016