Joshitha N.

Privacy-preserving intrusion detection in mobile edge networks via federated adaptive probabilistic stacking with clan–flock optimisation and explainable AI

Mobile edge networks require intrusion detection systems (IDS) that are private, accurate and interpretable. We present FedAPS–CFO, a federated IDS coupling four mechanisms: prediction-level federated averaging (FedAvg), so raw traffic never leaves the edge; an Adaptive Probabili...