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Cyber Security Intrusion Detection for Agriculture 4.0: Machine Learning-Based Solutions, Datasets, and Future Directions 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 3, 页码: 407-436
Authors:  Mohamed Amine Ferrag;  Lei Shu;  Othmane Friha;  Xing Yang
Adobe PDF(23596Kb)  |  Favorite  |  View/Download:44/2  |  Submit date:2022/03/09
Agriculture 4.0  cyber security  intrusion detection system  machine learning approaches  smart agriculture