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Machine Learning-Based Early Intrusion Detection System in Industrial LAN Networks Using Honeypots

The paper proposes an industrial Early Intrusion Detection System (EIDS) that combines honeypots with machine learning algorithms. The authors describe collecting data from honeypot and industrial device sensors, storing it in a database and analyzing it to alert on intrusions in industrial control networks.

HoneypotOT/ICSNetwork

What we know

The paper proposes an industrial Early Intrusion Detection System (EIDS) that combines honeypots with machine learning algorithms. The authors describe collecting data from honeypot and industrial device sensors, storing it in a database and analyzing it to alert on intrusions in industrial control networks.

Evidence limits

Review based only on the Crossref-deposited abstract; the full text was not consulted and the results or described software were not independently verified.

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

Sources and provenance

  1. Machine Learning-Based Early Intrusion Detection System in Industrial LAN Networks Using Honeypots
    abstract · 2026-10-11

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

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