CLA-BERT: A Hybrid Model for Accurate Encrypted Traffic Classification by Combining Packet and Byte-Level Features
Encrypted traffic classification is crucial for network security and management, enabling applications like QoS control and malware detection. However, the emergence of new encryption protocols, particularly TLS 1.3, poses challenges for traditional methods. To address this, we propose CLA-BERT, whi...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-03-01
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| Series: | Mathematics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-7390/13/6/973 |
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