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R. Chouhan

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Open access Sep 2026

Privacy-Preserving Intrusion Detection using Federated Learning in Distributed Networks

A privacy-friendly intrusion detection system (PP-IDS) that operates on the basis of conjoint learning, which makes PP-IDS suitable for cloud services, edge devices, Internet of Things networks or business systems – basically anywhere that data needs to remain private.

R. Chouhan · 0 citations

Privacy-Preserving Intrusion Detection Using Federated Learning in Distributed Networks

Evaluated on standard intrusion detection datasets, including NSL-KDD and CICIDS2017, indicates that the proposed model can maintain competitive detection performance while improving privacy protection and supporting deployment across distributed network environments.

R. Chouhan, Kirti Jain, M. Bagwani · 0 citations

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