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Análisis Comparativo del Rendimiento, Consumo de Recursos y Costos Operacionales de Honeypots Tradicionales y Modernos con Aprendizaje Automático

The study compares, under homogeneous conditions, the technical performance, resource consumption and operational costs of traditional honeypots versus honeypots that incorporate machine learning to improve realism and hinder fingerprinting. The authors deployed six open-source honeypots simultaneously (three traditional and three ML-enhanced) for 60 days on Hetzner Cloud infrastructure, reporting differences in useful interaction, fingerprinting and return on investment.

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What we know

The study compares, under homogeneous conditions, the technical performance, resource consumption and operational costs of traditional honeypots versus honeypots that incorporate machine learning to improve realism and hinder fingerprinting. The authors deployed six open-source honeypots simultaneously (three traditional and three ML-enhanced) for 60 days on Hetzner Cloud infrastructure, reporting differences in useful interaction, fingerprinting and return on investment.

Evidence limits

Review limited to the Crossref-deposited abstract; no full text was accessed and results were not independently validated.

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

Sources and provenance

  1. Análisis Comparativo del Rendimiento, Consumo de Recursos y Costos Operacionales de Honeypots Tradicionales y Modernos con Aprendizaje Automático
    abstract · 2026-10-11

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

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