BRFID: Toward Byzantine-Robust Federated Intrusion Detection

Asmah Muallem, Firdous Kausar, Sajid Hussain +1

Flipping 60\% of training labels from a single Byzantine client using label-flipping model poisoning self-degrades an attacker's own federated detection accuracy, $99.96\%$ (at no…