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Optimal allocation of defensive resources to defend urban power networks against different types of attackers

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  • Han, Lin
  • Zhao, Xudong
  • Chen, Zhilong
  • Wu, Yipeng
  • Su, Xiaochao
  • Zhang, Ning

Abstract

As an important part of urban lifeline networks, the urban power network is threatened by multiple types of intentional attackers, such as criminals, terrorists, illegal employees, etc. Each type of attackers differs remarkably in purposes, strategies and valuations of targets. In order to improve the defense capability of urban power network under the threat of different types of attackers, this study proposed an optimal allocation method of defensive resources based on Bayesian game model to reduce the expected loss of the defender. In the case study of IEEE 30-bus network, the reliability and applicability of the resource optimization allocation method are verified through the comparison of the expected loss under different strategy combinations. It is proved that the Bayesian Nash equilibrium defense strategy is the best choice for the defender when there are different types of attackers.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:ijocip:v:35:y:2021:i:c:s1874548221000548
    DOI: 10.1016/j.ijcip.2021.100467
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    Cited by:

    1. Wu, Yipeng & Chen, Zhilong & Dang, Junhu & Chen, Yicun & Zhao, Xudong & Zha, Lvying, 2022. "Allocation of defensive and restorative resources in electric power system against consecutive multi-target attacks," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
    2. Xiao, Yuanhao & Zhao, Xudong & Wu, Yipeng & Chen, Zhilong & Gong, Huadong & Zhu, Lihong & Liu, Ying, 2022. "Seismic resilience assessment of urban interdependent lifeline networks," Reliability Engineering and System Safety, Elsevier, vol. 218(PB).

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