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ORCIDFengyuan Nie 0001
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- affiliation: Nanjing University of Science and Technology, School of Automation, China
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2020 – today
- 2025
[j8]Fengyuan Nie
, Guangjie Liu, Weiwei Liu, Jianan Huang, Bo Gao:
IoT-AMLHP: Aligned multimodal learning of header-payload representations for resource-efficient malicious IoT traffic classification. Ad Hoc Networks 178: 103916 (2025)- [j7]Fengyuan Nie, Weiwei Liu, Guangjie Liu, Bo Gao, Jianan Huang, Wen Tian, Chau Yuen:
Empowering Anomaly Detection in IoT Traffic Through Multiview Subspace Learning. IEEE Internet Things J. 12(11): 15911-15925 (2025) - [j6]Fengyuan Nie, Weiwei Liu, Guangjie Liu, Bo Gao, Jianan Huang, Chau Yuen:
Lightweight Identification of Malicious IoT Traffic via Cross-View Knowledge Distillation. IEEE Internet Things J. 12(20): 42337-42351 (2025) - [j5]Jianan Huang, Weiwei Liu, Guangjie Liu, Bo Gao, Fengyuan Nie:
QuicCourier: Leveraging the Dynamics of QUIC- Based Website Browsing Behaviors Through Proxy for Covert Communication. IEEE Trans. Dependable Secur. Comput. 22(5): 4516-4533 (2025) - [j4]Bo Gao, Weiwei Liu, Guangjie Liu, Fengyuan Nie, Jianan Huang:
Multi-Level Resource-Coherented Graph Learning for Website Fingerprinting Attacks. IEEE Trans. Inf. Forensics Secur. 20: 693-708 (2025) - [j3]Jianan Huang, Weiwei Liu, Guangjie Liu, Bo Gao, Fengyuan Nie:
WF-A2D: Enhancing Privacy With Asymmetric Adversarial Defense Against Website Fingerprinting. IEEE Trans. Inf. Forensics Secur. 20: 4739-4754 (2025) - [i1]Fengyuan Nie, Guangjie Liu, Weiwei Liu, Jianan Huang, Bo Gao:
IoT-AMLHP: Aligned Multimodal Learning of Header-Payload Representations for Resource-Efficient Malicious IoT Traffic Classification. CoRR abs/2504.14833 (2025) - 2024
- [j2]Fengyuan Nie, Weiwei Liu, Guangjie Liu, Bo Gao:
M2VT-IDS: A multi-task multi-view learning architecture for designing IoT intrusion detection system. Internet Things 25: 101102 (2024) - [j1]Bo Gao, Weiwei Liu, Guangjie Liu, Fengyuan Nie:
Resource Knowledge-Driven Heterogeneous Graph Learning for Website Fingerprinting. IEEE Trans. Cogn. Commun. Netw. 10(3): 968-981 (2024)
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