Network traffic classification based on federated semi-supervised learning

Author:

Wang ZiXuan,Li ZeYi,Fu MengYi,Ye YingChun,Wang Pan

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference38 articles.

1. Sustaining the high performance of AI-based network traffic classification models;Zhang;IEEE/ACM Trans. Netw.,2022

2. Datanet: Deep learning based encrypted network traffic classification in sdn home gateway;Wang;IEEE Access,2018

3. Deep correlation mining based on hierarchical hybrid networks for heterogeneous big data recommendations;Zhou;IEEE Trans. Comput. Soc. Syst.,2020

4. Payload encoding representation from transformer for encrypted traffic classification;He;ZTE Commun.,2022

5. Federated distillation and blockchain empowered secure knowledge sharing for internet of medical things;Zhou;Inf. Sci.,2024

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2. Autonomous integration of TSN-unaware applications with QoS requirements in TSN networks;Computer Communications;2024-06

3. Research on Multi-source Data Security Fusion Analysis Technology Based on Federated Learning;2024 IEEE 14th International Conference on Electronics Information and Emergency Communication (ICEIEC);2024-05-24

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