Federated Deep Learning for Cyber Security in the Internet of Things: Concepts, Applications, and Experimental Analysis

In this article, we present a comprehensive study with an experimental analysis of federated deep learning approaches for cyber security in the Internet of Things (IoT) applications. Specifically, we first provide a review of the federated learning-based security and privacy systems for several type...

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Autores principales:	Mohamed Amine Ferrag, Othmane Friha, Leandros Maglaras, Helge Janicke, Lei Shu
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	IEEE 2021-01-01
Colección:	IEEE Access
Materias:	Federated learning intrusion detection deep learning cyber security the IoT blockchain
Acceso en línea:	https://ieeexplore.ieee.org/document/9562531/
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