Paper

Honeypot Coupled Machine Learning Model for Botnet Detection and Classification in IoT Smart Factory – An Investigation

The paper proposes and investigates a botnet detection and classification model that combines honeypots with machine learning, aimed at smart factories. The study was carried out in a hardware configuration virtually mimicking a smart factory environment, as described by the authors.

HoneypotIoTOT/ICS

What we know

The paper proposes and investigates a botnet detection and classification model that combines honeypots with machine learning, aimed at smart factories. The study was carried out in a hardware configuration virtually mimicking a smart factory environment, as described by the authors.

Evidence limits

Review based only on the abstract deposited in Crossref; the full text was not consulted and the results were not independently validated.

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

Sources and provenance

  1. Honeypot Coupled Machine Learning Model for Botnet Detection and Classification in IoT Smart Factory – An Investigation
    abstract · 2026-10-11

Reviewed: 2026-10-13. This record may change when new evidence is found.

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