FedPrIDS: Privacy-Preserving Federated Learning for Collaborative Network Intrusion Detection in IoT

One of the major challenges for effective intrusion detection systems (IDSs) is continuously and efficiently incorporating changes on cyber-attack tactics, techniques, and procedures in the Internet of Things (IoT). Semi-automated cross-organizational sharing of IDS data is a potential solution. How...

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Autors principals:	Sameer Mankotia, Daniel Conte de Leon, Bhaskar P. Rimal
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2026-01-01
Col·lecció:	Journal of Cybersecurity and Privacy
Matèries:	federated machine learning network intrusion detection differential privacy privacy-preserving machine learning cyber threats
Accés en línia:	https://www.mdpi.com/2624-800X/6/1/10
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