Zihan Chen
Orcid: 0000-0001-5871-7766Affiliations:
- Southeast University, Nanjing, China
According to our database1,
Zihan Chen
authored at least 21 papers
between 2019 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2025
Intelligent Root Cause Localization in MicroService Systems: A Survey and New Perspectives.
ACM Comput. Surv., December, 2025
PRIME: Plasticity-Robust Incremental Model for Encrypted Traffic Classification in Dynamic Network Environments.
CoRR, August, 2025
From Static to Adaptive Defense: Federated Multi-Agent Deep Reinforcement Learning-Driven Moving Target Defense Against DoS Attacks in UAV Swarm Networks.
CoRR, June, 2025
SNAKE: A Sustainable and Multi-functional Traffic Analysis System utilizing Specialized Large-Scale Models with a Mixture of Experts Architecture.
CoRR, March, 2025
Drift-oriented Self-evolving Encrypted Traffic Application Classification for Actual Network Environment.
CoRR, January, 2025
Comput. Networks, 2025
2024
Classify Traffic Rather Than Flow: Versatile Multi-Flow Encrypted Traffic Classification With Flow Clustering.
IEEE Trans. Netw. Serv. Manag., April, 2024
Toward Intelligent and Secure Cloud: Large Language Model Empowered Proactive Defense.
CoRR, 2024
Comput. Networks, 2024
2023
TDS-KRFI: Reference Frame Identification for Live Web Streaming Toward HTTP Flash Video Protocol.
IEEE Trans. Netw. Serv. Manag., December, 2023
Snapshot for Power Grids IoT: Adaptive Measurement for Resilience Intelligent Internet of Things.
IEEE Internet Things J., August, 2023
A Hypernetwork-based Personalized Federated Learning Framework for Encrypted Traffic Classification.
Proceedings of the 19th International Conference on Mobility, Sensing and Networking, 2023
Identifying Fine-Grained Douyin User Behaviors via Analyzing Encrypted Network Traffic.
Proceedings of the 19th International Conference on Mobility, Sensing and Networking, 2023
2022
Toward Proactive and Efficient DDoS Mitigation in IIoT Systems: A Moving Target Defense Approach.
IEEE Trans. Ind. Informatics, 2022
Length matters: Scalable fast encrypted internet traffic service classification based on multiple protocol data unit length sequence with composite deep learning.
Digit. Commun. Networks, 2022
Higher Layers, Better Results: Application Layer Feature Engineering in Encrypted Traffic Classification.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2022
2021
Proceedings of the 17th International Conference on Mobility, Sensing and Networking, 2021
Proceedings of the 29th IEEE/ACM International Symposium on Quality of Service, 2021
2020
Cost-effective moving target defense against DDoS attacks using trilateral game and multi-objective Markov decision processes.
Comput. Secur., 2020
Length Matters: Fast Internet Encrypted Traffic Service Classification based on Multi-PDU Lengths.
Proceedings of the 16th International Conference on Mobility, Sensing and Networking, 2020
2019
Proceedings of the 6th ACM Workshop on Moving Target Defense, 2019