Privacy-Preserving Network Intrusion Detection Using Federated Learning with Explainable AI and an Autonomous SOC Agent Pipeline
Centralized intrusion detection systems (IDS) re-quire pooling raw network traffic at a single location, which is a significant privacy liability in domains such as banking, healthcare, and telecommunications, and typically rely on static detection thresholds that produce high false-positive rates as traffic patterns d...
Dr. Shashikumar D R, Sahana G C, K N Pallavi et al.
· Zenodo (CERN European Organi... · 0 citations