Dynamic Games for Secure and Resilient Control System Design
Yunhan Huang, Juntao Chen, Linan Huang, Quanyan Zhu

TL;DR
This paper reviews how dynamic game theory models can enhance security and resilience in complex, multi-layer control systems by capturing strategic interactions and addressing cross-layer design challenges.
Contribution
It introduces dynamic game variants for different control system layers and discusses their role in improving robustness, security, and resilience against adversarial threats.
Findings
Game-theoretic methods reveal fundamental tradeoffs in security and resilience.
Cross-layer approaches improve system performance in adversarial environments.
Dynamic games facilitate understanding of multi-layer control system interactions.
Abstract
Modern control systems are featured by their hierarchical structure composing of cyber, physical, and human layers. The intricate dependencies among multiple layers and units of modern control systems require an integrated framework to address cross-layer design issues related to security and resilience challenges. To this end, game theory provides a bottom-up modeling paradigm to capture the strategic interactions among multiple components of the complex system and enables a holistic view to understand and design cyber-physical-human control systems. In this review, we first provide a multi-layer perspective toward increasingly complex and integrated control systems and then introduce several variants of dynamic games for modeling different layers of control systems. We present game-theoretic methods for understanding the fundamental tradeoffs of robustness, security, and resilience…
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Taxonomy
TopicsSmart Grid Security and Resilience · Information and Cyber Security · Infrastructure Resilience and Vulnerability Analysis
