Cybersecurity Mechanism for Automatic Detection of IoT Intrusions Using Machine Learning
Cheikhane Seyed,
MBaye Kebe,
Mohamed El Moustapha El Arby
et al.
Abstract:This article proposes an ML-based cyber security mechanism to optimize intrusion detection that attacks internet objects (IoT). Our approach consists of bringing together several learning methods namely supervised learning, unsupervised learning and reinforcement learning within the same Canvas. The objective is to choose among them the most optimal for classifying and predicting attacks while minimizing the impact linked to the learning costs of these attacks. In our proposed model, we have used a modular des… Show more
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