arXiv Machine Learning August 4, 2026 By Amira Berrezzek, Hayet Djellali, Giulio Mallardi, Lamia Mahnane

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

Read the original on arXiv Machine Learning →

arXiv:2608. 00869v1 Announce Type: cross Abstract: 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.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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