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LLM-Enabled Cloud-Native Dynamic Honeypot Systems: Architecture, Ethical Governance, and Empirical Evaluation

The paper proposes an LLM-enabled cloud-native dynamic honeypot architecture in which the model acts only as a text synthesizer behind policy gating and state verification. The authors describe a session broker that classifies attacker commands rather than executing them, alongside ethical governance controls and an evaluation protocol.

HoneypotAdversary engagementCloudNetworkApplication

What we know

The paper proposes an LLM-enabled cloud-native dynamic honeypot architecture in which the model acts only as a text synthesizer behind policy gating and state verification. The authors describe a session broker that classifies attacker commands rather than executing them, alongside ethical governance controls and an evaluation protocol.

Evidence limits

Review limited to the deposited abstract; full text was not accessed and results were not validated.

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

Sources and provenance

  1. LLM-Enabled Cloud-Native Dynamic Honeypot Systems: Architecture, Ethical Governance, and Empirical Evaluation
    abstract · 2026-10-11

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

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