Jie Hao

Network Intrusion Detection Based on Global-Local Temporal Feature Fusion Using Transformer and BiLSTM

The Global and Local Temporal (GLT) NID model, which utilizes the self-attention mechanism of the Transformer to extract global dependencies and complex feature correlations from network traffic sequences while combining the bidirectional recurrent structure of BiLSTM to capture local temporal features of traffic data.