A. S.

Split-CNN for intrusion detection: enhancing feature diversity and training efficiency through channel separation

Cyber threats are becoming more sophisticated, and advanced intrusion detection systems (IDS) are needed to detect complex attack patterns on the network. Traditional IDS approaches tend to rely on signature-based methods or manually engineered statistical features, which struggle to detect evolving cyber threats and l...