 Optimal allocation of defensive resources to defend urban power networks against different types of attackersLin Han, Xudong Zhao, Zhilong Chen, Yipeng Wu, Xiaochao Su and Ning Zhang International Journal of Critical Infrastructure Protection, 2021, vol. 35, issue C 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. Keywords: Intentional attacks; Power network; Game theory; Defensive resources; Optimal strategy (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:ijocip:v:35:y:2021:i:c:s1874548221000548 DOI: 10.1016/j.ijcip.2021.100467 Access Statistics for this article International Journal of Critical Infrastructure Protection is currently edited by Leon Strous More articles in International Journal of Critical Infrastructure Protection from Elsevier |
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