Encrypted traffic classification method based on parallel traffic graph and graph neural network

Aiming at the problems of traditional encrypted traffic classification methods limited by the imbalance of dataset classes and the unreliability of the features used in complex network environments, an encrypted traffic classification method based on parallel traffic graph and graph neural network w...

Full description

Bibliographic Details

Published in:	Tongxin xuebao
Main Authors:	LIU Taotao, FU Yu, YU Yihan, AN Yishuai
Format:	Article
Language:	Chinese
Published:	Editorial Department of Journal on Communications 2025-06-01
Subjects:	encrypted traffic classification deep learning graph neural network feature fusion
Online Access:	http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2025095/