Malicious attack detection based on traffic-flow information fusion. - Ye Chen 009; Yingxu Lai; Zhaoyi Zhang; Hanmei Li; Yuhang Wang (IFIP Networking, 2022)

Domain Adversarial Neural Network-Based Intrusion Detection System for In-Vehicle Network Variant Attacks. - Jingwen Wei; Ye Chen 009; Yingxu Lai; Yuhang Wang; Zhaoyi Zhang (IEEE Commun. Lett., 2022)

Authentication methods for internet of vehicles based on trusted connection architecture. - Han Zhang; Yingxu Lai; Ye Chen 009 (Simul. Model. Pract. Theory, 2023)

Detection method to eliminate Sybil attacks in Vehicular Ad-hoc Networks. - Zhaoyi Zhang; Yingxu Lai; Ye Chen 009; Jingwen Wei; Yuhang Wang (Ad Hoc Networks, 2023)

MDFD: A multi-source data fusion detection framework for Sybil attack detection in VANETs. - Ye Chen 009; Yingxu Lai; Zhaoyi Zhang; Hanmei Li; Yuhang Wang (Comput. Networks, 2023)

Transfer learning-based self-learning intrusion detection system for in-vehicle networks. - Yuhang Wang; Yingxu Lai; Ye Chen 009; Jingwen Wei; Zhaoyi Zhang (Neural Comput. Appl., 2023)

Broadcast and Silence Period (BSP): A Pseudonym Change Strategy. - Hanmei Li; Yingxu Lai; Ye Chen 009 (IEEE Trans. Veh. Technol., 2023)

LSTM-Based Model Compression for CAN Security in Intelligent Vehicles. - Yuan Feng; Yingxu Lai; Ye Chen 009; Zhaoyi Zhang; Jingwen Wei (IEEE Trans. Artif. Intell., 2024)

Sybil attack detection and traceability scheme based on temporal heterogeneous graph attention networks. - Ye Chen 009; Yingxu Lai; Congai Zeng (J. Netw. Comput. Appl., 2025)