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

48 citations · 48 across the 1 of their papers we have counts for

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1 paper

cs.CR2022★ 48 cited

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

Jiahui Chen, Yi Zhao, Qi Li +2

Deep learning (DL) methods have been widely applied to anomaly-based network intrusion detection system (NIDS) to detect malicious traffic. To expand the usage scenarios of DL-base…