Survey of research on encrypted traffic classification based on machine learning

Encrypted traffic classification was an important component of network management and security protection. However, the complexity and variability of the current network traffic environment rendered traditional classification methods largely ineffective. Machine learning, particularly deep learning,...

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Bibliografski detalji

Glavni autori:	FU Yu, LIU Taotao, WANG Kun, YU Yihan
Format:	Artigo
Jezik:	Chinês
Izdano:	Editorial Department of Journal on Communications 2025-01-01
Serija:	Tongxin xuebao
Teme:	traffic analysis encrypted traffic classification machine learning deep learning
Online pristup:	http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2025006/
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