most citedPrivacy-Preserving Hybrid Ensemble Model for Network Anomaly Detection: Balancing Security and Data Protection

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cs.LG2025★ 1 cited

Privacy-Preserving Hybrid Ensemble Model for Network Anomaly Detection: Balancing Security and Data Protection

Shaobo Liu, Zihao Zhao, Weijie He +3

Privacy-preserving network anomaly detection has become an essential area of research due to growing concerns over the protection of sensitive data. Traditional anomaly detection m…