Deep Learning-Based Intrusion Detection for Distributed Denial of Service Attack in Agriculture 4.0

• Published in: Electronics (Basel) Vol. 10; no. 11; p. 1257
• Main Authors: Ferrag, Mohamed Amine, Shu, Lei, Djallel, Hamouda, Choo, Kim-Kwang Raymond
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.06.2021
• Subjects: Agricultural equipment; Agriculture; Artificial intelligence; Artificial neural networks; Cryptography; Cybersecurity; Datasets; Deep learning; Denial of service attacks; Industrial applications; Internet of Things; Intrusion detection systems; Neural networks; Recurrent neural networks; Security management; Theft; Wireless networks

Smart Agriculture or Agricultural Internet of things, consists of integrating advanced technologies (e.g., NFV, SDN, 5G/6G, Blockchain, IoT, Fog, Edge, and AI) into existing farm operations to improve the quality and productivity of agricultural products. The convergence of Industry 4.0 and Intellig...