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

• 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

•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...