WFF-EGNN: Encrypted Traffic Classification Based on Weaved Flow Fragment via Ensemble Graph Neural Networks

Traffic analysis plays an essential role in network management and security protection under the premise of fully protecting user privacy. Unfortunately, encryption dramatically reduces the disclosure of traffic information, making encrypted traffic analysis more challenging than plaintext traffic a...

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Principais autores:	Zihan Chen, Guang Cheng, Dandan Niu, Xing Qiu, Yuyu Zhao, Yuyang Zhou
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2023-01-01
coleção:	IEEE Transactions on Machine Learning in Communications and Networking
Assuntos:	Encrypted traffic classification ensemble graph deep learning graph neural networks open-world environment weaved flow fragment
Acesso em linha:	https://ieeexplore.ieee.org/document/10278468/
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