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Paper

Cyber Deception: State of the Art, Trends and Open Challenges

Survey proposing a taxonomy and comparing cyber deception research lines, including AI-based work.

Adversary engagementNetworkCloud

Evidence limits

Subjective selection and the time window limit reproducibility and currency; outcomes are not compared on one benchmark.

Reviewed: Full text.

Full-text review · 2026-09-16

Design and scope

Survey using objective and subjective selection of 83 works published from 2019 to 2023.

Main finding

Combines taxonomy, frameworks, AI and non-AI techniques, TRL and challenges; identifies the lack of common metrics.

Evidence limits

Subjective selection and the time window limit reproducibility and currency; outcomes are not compared on one benchmark.

Sources and provenance

  1. Cyber Deception: State of the Art, Trends and Open Challenges
    Full text · 2026-09-16

Reviewed: 2026-09-16. This record may change when new evidence is found.

RIS · BibTeX

Related resources

Framework or guide—

MITRE Engage

Material reviewed: Public pageCritical reading

Framework for planning and communicating denial, deception and adversary engagement.

NetworkCloudAdversary engagement
MITRE