Q.-M. Chen

FedCIPHER: Causal-Invariant and Privacy-Hardened Prototype Federation for Robust Network Intrusion Detection under Non-IID Traffic

Collaborative network intrusion detection requires security operation centers, cloud platforms, and industrial edge domains to learn from distributed traffic without centralizing packet traces, asset identifiers, or attack evidence. Federated learning limits direct data movement, yet conventional parameter averaging is...