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Defense of Cyber Infrastructures Against Cyber‐Physical Attacks Using Game‐Theoretic Models

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  • Nageswara S. V. Rao
  • Stephen W. Poole
  • Chris Y. T. Ma
  • Fei He
  • Jun Zhuang
  • David K. Y. Yau

Abstract

The operation of cyber infrastructures relies on both cyber and physical components, which are subject to incidental and intentional degradations of different kinds. Within the context of network and computing infrastructures, we study the strategic interactions between an attacker and a defender using game‐theoretic models that take into account both cyber and physical components. The attacker and defender optimize their individual utilities, expressed as sums of cost and system terms. First, we consider a Boolean attack‐defense model, wherein the cyber and physical subinfrastructures may be attacked and reinforced as individual units. Second, we consider a component attack‐defense model wherein their components may be attacked and defended, and the infrastructure requires minimum numbers of both to function. We show that the Nash equilibrium under uniform costs in both cases is computable in polynomial time, and it provides high‐level deterministic conditions for the infrastructure survival. When probabilities of successful attack and defense, and of incidental failures, are incorporated into the models, the results favor the attacker but otherwise remain qualitatively similar. This approach has been motivated and validated by our experiences with UltraScience Net infrastructure, which was built to support high‐performance network experiments. The analytical results, however, are more general, and we apply them to simplified models of cloud and high‐performance computing infrastructures.

Suggested Citation

  • Nageswara S. V. Rao & Stephen W. Poole & Chris Y. T. Ma & Fei He & Jun Zhuang & David K. Y. Yau, 2016. "Defense of Cyber Infrastructures Against Cyber‐Physical Attacks Using Game‐Theoretic Models," Risk Analysis, John Wiley & Sons, vol. 36(4), pages 694-710, April.
  • Handle: RePEc:wly:riskan:v:36:y:2016:i:4:p:694-710
    DOI: 10.1111/risa.12362
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    References listed on IDEAS

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    Cited by:

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    2. Vineet M. Payyappalli & Jun Zhuang & Victor Richmond R. Jose, 2017. "Deterrence and Risk Preferences in Sequential Attacker–Defender Games with Continuous Efforts," Risk Analysis, John Wiley & Sons, vol. 37(11), pages 2229-2245, November.
    3. Alberto Redondo & David Ríos Insua, 2020. "Protecting From Malware Obfuscation Attacks Through Adversarial Risk Analysis," Risk Analysis, John Wiley & Sons, vol. 40(12), pages 2598-2609, December.
    4. Li, Yapeng & Qiao, Shun & Deng, Ye & Wu, Jun, 2019. "Stackelberg game in critical infrastructures from a network science perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 521(C), pages 705-714.
    5. Chaoqi, Fu & Yangjun, Gao & Jilong, Zhong & Yun, Sun & Pengtao, Zhang & Tao, Wu, 2021. "Attack-defense game for critical infrastructure considering the cascade effect," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    6. Chaoqi, Fu & Pengtao, Zhang & Lin, Zhou & Yangjun, Gao & Na, Du, 2021. "Camouflage strategy of a Stackelberg game based on evolution rules," Chaos, Solitons & Fractals, Elsevier, vol. 153(P2).
    7. Han, Lin & Zhao, Xudong & Chen, Zhilong & Wu, Yipeng & Su, Xiaochao & Zhang, Ning, 2021. "Optimal allocation of defensive resources to defend urban power networks against different types of attackers," International Journal of Critical Infrastructure Protection, Elsevier, vol. 35(C).
    8. Luca Allodi & Fabio Massacci, 2017. "Security Events and Vulnerability Data for Cybersecurity Risk Estimation," Risk Analysis, John Wiley & Sons, vol. 37(8), pages 1606-1627, August.

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