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
- 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.