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PHANTOM: Polymorphic Honeytoken Adaptation with Narrative-tailored Organisational Mimicry Contextually Convincing Cyber Deception at Scale

The paper presents PHANTOM, a framework that generates honeytokens by encoding organisation-specific knowledge (domain names, service naming conventions, technology-stack idioms and realistic secret-value distributions) into a multi-component pipeline. The authors formalise a four-component believability score and use it to compare PHANTOM against a template-based baseline.

HoneytokenDecoy

What we know

The paper presents PHANTOM, a framework that generates honeytokens by encoding organisation-specific knowledge (domain names, service naming conventions, technology-stack idioms and realistic secret-value distributions) into a multi-component pipeline. The authors formalise a four-component believability score and use it to compare PHANTOM against a template-based baseline.

Evidence limits

Review limited to the Crossref deposited abstract; no full text was examined, results were not replicated, and real-world effectiveness is not validated.

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

Sources and provenance

  1. PHANTOM: Polymorphic Honeytoken Adaptation with Narrative-tailored Organisational Mimicry Contextually Convincing Cyber Deception at Scale
    abstract · 2026-10-11

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

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