FELIDS: Federated learning-based intrusion detection system for agricultural Internet of Things

•We propose a federated deep learning-based IDS for mitigating cyberattacks.•We investigate the use of three deep learning classifiers, DNN, CNN, and RNN.•The performance of each classifier is evaluated using three recent real datasets.•The results show that the FELIDS system outperforms the central...

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Bibliographic Details

Published in:	Journal of parallel and distributed computing Vol. 165; pp. 17 - 31
Main Authors:	Friha, Othmane, Ferrag, Mohamed Amine, Shu, Lei, Maglaras, Leandros, Choo, Kim-Kwang Raymond, Nafaa, Mehdi
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01.07.2022
Subjects:	Deep learning Federated learning Internet of Things Privacy Security Deep learning Privacy Federated learning Internet of Things Security
ISSN:	0743-7315, 1096-0848
Online Access:	Get full text
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