CNNRes-DIndRNN: A New Method for Detecting TLS-Encrypted Malicious Traffic
While ensuring the accuracy of encrypted malicious traffic detection, improving model training speed remains a challenge. In order to solve this challenge, we propose CNNRes-DIndRNN for detecting encrypted malicious traffic classification. This model uses 1D-CNN to capture local feature relationship...
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| Autores principales: | , , , , , , , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
MDPI AG
2025-12-01
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| Colección: | Future Internet |
| Materias: | |
| Acceso en línea: | https://www.mdpi.com/1999-5903/18/1/8 |
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