echowei/DeepTraffic
Deep Learning models for network traffic classification
Implements 1D convolutional neural networks for both malware traffic detection and end-to-end encrypted traffic classification without payload inspection. Combines spatial-temporal feature learning through hierarchical deep neural network architectures to enable intrusion detection across encrypted and unencrypted protocols. Research-backed approach with peer-reviewed implementations targeting network security and anomaly detection applications.
763 stars.
Stars
763
Forks
299
Language
Python
License
MPL-2.0
Category
Last pushed
Jan 30, 2026
Commits (30d)
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