Paper

Strategic Honeypot Allocation in Dynamic Networks: A Game-Theoretic Approach for Enhanced Cybersecurity

The authors formulate a two-player dynamic game to model honeypot allocation in tactical networks whose connectivity changes with node mobility. They propose an iterative algorithm to find Nash equilibria and assess scalability through compact states and sensitivity analysis under imperfect information.

HoneypotNetwork

What we know

The authors formulate a two-player dynamic game to model honeypot allocation in tactical networks whose connectivity changes with node mobility. They propose an iterative algorithm to find Nash equilibria and assess scalability through compact states and sensitivity analysis under imperfect information.

Evidence limits

Assessment based solely on the Crossref-deposited abstract, without full-text reading or independent validation of results.

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

Sources and provenance

  1. Strategic Honeypot Allocation in Dynamic Networks: A Game-Theoretic Approach for Enhanced Cybersecurity
    abstract · 2026-10-11

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

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