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Explainable Hybrid Feature Selection for Intrusion Detection in Internet of Medical Things Environments

Berrezzek, Amira et al.
arXiv (OAI Expanded) · Papers
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cryptography-and-security
Internet of Medical Things (IoMT) networks are hard to protect: devices are heterogeneous, computing resources are scarce, and traffic must be analyzed in real time. We present an intrusion detection system that addresses these constraints through feature selection. A Pearson correlation filter firs
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