Federated Learning-Driven Cybersecurity Framework for IoT Networks with Privacy Preserving and Real-Time Threat Detection Capabilities

The rapid expansion of the Internet of Things (IoT) ecosystem has transformed industries but also exposed significant cybersecurity vulnerabilities. Traditional centralized methods for securing IoT networks struggle to balance privacy preservation with real-time threat detection. This study presents...

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Detalles Bibliográficos

Principais autores:	Milad Rahmati, Antonino Pagano
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2025-07-01
Series:	Informatics
Assuntos:	federated learning IoT cybersecurity privacy preservation real-time threat detection anomaly detection recurrent neural networks
Acceso en liña:	https://www.mdpi.com/2227-9709/12/3/62
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