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Intelligent Honeypot-based IDS for Cyber Attack Detection using Generative Adversarial Networks

The authors propose a network design for honeypot placement and an intrusion detection system aimed at identifying and alerting on illicit access, using traffic logs. They use datasets derived from a honeypot implementation and KDD-99, trained with generative adversarial networks, a deep learning-based generative model.

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What we know

The authors propose a network design for honeypot placement and an intrusion detection system aimed at identifying and alerting on illicit access, using traffic logs. They use datasets derived from a honeypot implementation and KDD-99, trained with generative adversarial networks, a deep learning-based generative model.

Evidence limits

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

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

Sources and provenance

  1. Intelligent Honeypot-based IDS for Cyber Attack Detection using Generative Adversarial Networks
    abstract · 2026-10-11

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

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