Paper

Explainable AI-Based Intrusion Detection System Using Rule-Based Anomaly Detection and Honeypot Mechanism Implementation

The paper describes an intrusion detection system that monitors live packets and uses predefined rules to detect suspicious activity rather than machine learning models. It includes a honeypot module with a fake login interface and human-readable explanations for detected anomalies.

HoneypotNetwork

What we know

The paper describes an intrusion detection system that monitors live packets and uses predefined rules to detect suspicious activity rather than machine learning models. It includes a honeypot module with a fake login interface and human-readable explanations for detected anomalies.

Evidence limits

Review limited to the deposited Crossref abstract; full text, software, and effectiveness were not verified.

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

Sources and provenance

  1. Explainable AI-Based Intrusion Detection System Using Rule-Based Anomaly Detection and Honeypot Mechanism Implementation
    abstract · 2026-10-11

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

RIS · BibTeX