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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...

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Detalhes bibliográficos
Principais autores: LIU Taotao, FU Yu, YU Yihan, AN Yishuai
Formato: Artigo
Idioma:Chinês
Publicado em: Editorial Department of Journal on Communications 2025-06-01
coleção:Tongxin xuebao
Assuntos:
Acesso em linha:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2025095/
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