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Game-Theoretic Analysis of Multi-Source Information Freshness Under False Data Injection
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Summary
This paper models false data injection (FDI) attacks on networked control systems as a non-cooperative game between legitimate transmitters and a malicious adversary, using the age of incorrect information (AoII) metric. The authors analytically show that a Nash equilibrium exists and is unique, and derive conditions for equilibrium resource allocation. Numerical results, covering drift rates, FDI and transmission costs, and resource constraints, are presented alongside examples from secure healthcare and automotive control.
Mitigation
The source states that the analysis yields actionable guidelines for enhancing sensor security through parameter tuning and resource allocation.