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Dynamic Games in Cyber-Physical Security: An Overview

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  • S. Rasoul Etesami

    (University of Illinois at Urbana-Champaign)

  • Tamer Başar

    (University of Illinois at Urbana-Champaign)

Abstract

Due to complex dependencies between multiple layers and components of emerging cyber-physical systems, security and vulnerability of such systems have become a major challenge in recent years. In this regard, game theory, a powerful tool for modeling strategic interactions between multiple decision makers with conflicting objectives, offers a natural paradigm to address the security-related issues arising in these systems. While there exists substantial amount of work in modeling and analyzing security problems using game-theoretic techniques, most of the existing literature in this area focuses on static game models, ignoring the dynamic nature of interactions between the main players (defenders vs. attackers). In this paper, we focus only on dynamic game analysis of cyber-physical security problems and provide a general overview of the existing results and recent advances based on application domains. We also discuss several limitations of the existing models and identify several hitherto unaddressed directions for future research.

Suggested Citation

  • S. Rasoul Etesami & Tamer Başar, 2019. "Dynamic Games in Cyber-Physical Security: An Overview," Dynamic Games and Applications, Springer, vol. 9(4), pages 884-913, December.
    • Handle: RePEc:spr:dyngam:v:9:y:2019:i:4:d:10.1007_s13235-018-00291-y
    DOI: 10.1007/s13235-018-00291-y
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    References listed on IDEAS

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    1. Sylvain Sorin, 2011. "Zero-Sum Repeated Games: Recent Advances and New Links with Differential Games," Dynamic Games and Applications, Springer, vol. 1(1), pages 172-207, March.
    2. Tridib Bandyopadhyay & Dengpan Liu & Vijay S. Mookerjee & Allen W. Wilhite, 2014. "Dynamic competition in IT security: A differential games approach," Information Systems Frontiers, Springer, vol. 16(4), pages 643-661, September.
    3. Laraki, Rida & Sorin, Sylvain, 2015. "Advances in Zero-Sum Dynamic Games," Handbook of Game Theory with Economic Applications,, Elsevier.
    4. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
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    Cited by:

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    3. Wei, Ningji & Walteros, Jose L., 2022. "Integer programming methods for solving binary interdiction games," European Journal of Operational Research, Elsevier, vol. 302(2), pages 456-469.
    4. Deepanshu Vasal & Randall Berry, 2022. "Master Equation for Discrete-Time Stackelberg Mean Field Games with single leader," Papers 2201.05959, arXiv.org.

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