A malicious network traffic detection model based on bidirectional temporal convolutional network with multi-head self-attention mechanism.
Saihua CaiHan XuMingjie LiuZhilin ChenGuofeng ZhangPublished in: Comput. Secur. (2024)
Keyphrases
- network traffic
- normal traffic
- anomaly detection
- attention mechanism
- intrusion detection
- malicious code
- detecting anomalous
- intrusion detection system
- malicious traffic
- convolutional network
- convolutional neural networks
- visual attention
- network intrusion detection
- detection mechanism
- real time
- saliency map
- long range dependence
- object detection
- pairwise
- object recognition
- multiscale
- data mining