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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...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Mohamed Amine Ferrag, Othmane Friha, Leandros Maglaras, Helge Janicke, Lei Shu
Format: Artigo
Sprache:Inglês
Veröffentlicht: IEEE 2021-01-01
Schriftenreihe:IEEE Access
Schlagworte:
Federated learning
intrusion detection
deep learning
cyber security
the IoT
blockchain
Online-Zugang:https://ieeexplore.ieee.org/document/9562531/
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