Parallel Local–Global Feature Extraction and Cross-Attention Gated Fusion for Network Intrusion Detection
With the rapid advancement of network technology and the Internet of Things (IoT), massive, high-dimensional traffic data pose significant challenges to Network Intrusion Detection Systems (NIDS). Existing deep learning methods face two major limitations: (1) Insufficient feature extraction: single models struggle to c...