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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| 主要な著者: | , , , |
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| フォーマット: | Artigo |
| 言語: | Chinês |
| 出版事項: |
Editorial Department of Journal on Communications
2025-06-01
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| シリーズ: | Tongxin xuebao |
| 主題: | |
| オンライン･アクセス: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2025095/ |
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