FedDef: Defense Against Gradient Leakage in Federated Learning-based Network Intrusion Detection Systems

no code implementations • 8 Oct 2022 • Jiahui Chen, Yi Zhao, Qi Li, Xuewei Feng, Ke Xu

Deep learning (DL) methods have been widely applied to anomaly-based network intrusion detection system (NIDS) to detect malicious traffic.

Adversarial Attack Federated Learning +1