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Smart Honeypot for Threat Detection and Classification in IoMt Networks

The authors introduce HoneyMed, a protocol-aware honeypot framework that simulates healthcare and IoT services in order to collect malicious interactions, transform them into machine-learning tabular features, and classify attack types in real time. Its stated purpose is to provide threat visibility for IoMT security testbeds using decoys, feature extraction and lightweight classifiers, without interacting with production medical assets.

HoneypotDecoyIoTNetwork

What we know

The authors introduce HoneyMed, a protocol-aware honeypot framework that simulates healthcare and IoT services in order to collect malicious interactions, transform them into machine-learning tabular features, and classify attack types in real time. Its stated purpose is to provide threat visibility for IoMT security testbeds using decoys, feature extraction and lightweight classifiers, without interacting with production medical assets.

Evidence limits

Review based only on the abstract deposited with Crossref, not on the full text or independent validation of results.

Reviewed: author abstract. Full-text results were not analyzed.

Sources and provenance

  1. Smart Honeypot for Threat Detection and Classification in IoMt Networks
    abstract · 2026-10-11

Reviewed: 2026-10-16. This record may change when new evidence is found.

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