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A methodological framework for vulnerability analysis of interdependent infrastructure systems under deliberate attacks

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  • Wang, Shuliang
  • Stanley, H. Eugene
  • Gao, Yachun

Abstract

In this paper, we give a methodological framework to analyze vulnerability of interdependent infrastructure systems under deliberate attacks. Meanwhile, the intelligence of attackers is considered and a method of critical attack area identification according to community detection is proposed as well. The Interdependent power and gas system in Wuhan, China is taken as the example. We determine the vulnerabilities of different critical areas in both independent and interdependent scenarios. In the meantime, percolation theory are utilized and different coupling strengths are considered to further analyze the vulnerabilities. It is found that the disruption of only a few vertices may lead to complete collapsing for some critical areas and the vulnerabilities increase when systems become interdependent. Therefore, greater protection should be given to critical areas of a network in order to reduce the vulnerabilities when deliberate attacks occur. The proposed method could help decision makers develop mitigation techniques and optimal protection strategies.

Suggested Citation

  • Wang, Shuliang & Stanley, H. Eugene & Gao, Yachun, 2018. "A methodological framework for vulnerability analysis of interdependent infrastructure systems under deliberate attacks," Chaos, Solitons & Fractals, Elsevier, vol. 117(C), pages 21-29.
  • Handle: RePEc:eee:chsofr:v:117:y:2018:i:c:p:21-29
    DOI: 10.1016/j.chaos.2018.10.011
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    References listed on IDEAS

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    1. Ouyang, Min & Zhao, Lijing & Hong, Liu & Pan, Zhezhe, 2014. "Comparisons of complex network based models and real train flow model to analyze Chinese railway vulnerability," Reliability Engineering and System Safety, Elsevier, vol. 123(C), pages 38-46.
    2. Ouyang, Min, 2014. "Review on modeling and simulation of interdependent critical infrastructure systems," Reliability Engineering and System Safety, Elsevier, vol. 121(C), pages 43-60.
    3. Wang, Jianwei & Li, Yun & Zheng, Qiaofang, 2015. "Cascading load model in interdependent networks with coupled strength," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 430(C), pages 242-253.
    4. Hong, Liu & Ouyang, Min & Peeta, Srinivas & He, Xiaozheng & Yan, Yongze, 2015. "Vulnerability assessment and mitigation for the Chinese railway system under floods," Reliability Engineering and System Safety, Elsevier, vol. 137(C), pages 58-68.
    5. Utne, I.B. & Hokstad, P. & Vatn, J., 2011. "A method for risk modeling of interdependencies in critical infrastructures," Reliability Engineering and System Safety, Elsevier, vol. 96(6), pages 671-678.
    6. Hong, Liu & Yan, Yongze & Ouyang, Min & Tian, Hui & He, Xiaozheng, 2017. "Vulnerability effects of passengers' intermodal transfer distance preference and subway expansion on complementary urban public transportation systems," Reliability Engineering and System Safety, Elsevier, vol. 158(C), pages 58-72.
    7. Terje Aven, 2011. "On Some Recent Definitions and Analysis Frameworks for Risk, Vulnerability, and Resilience," Risk Analysis, John Wiley & Sons, vol. 31(4), pages 515-522, April.
    8. Gerald Brown & Matthew Carlyle & Javier Salmerón & Kevin Wood, 2006. "Defending Critical Infrastructure," Interfaces, INFORMS, vol. 36(6), pages 530-544, December.
    9. Ouyang, Min, 2016. "Critical location identification and vulnerability analysis of interdependent infrastructure systems under spatially localized attacks," Reliability Engineering and System Safety, Elsevier, vol. 154(C), pages 106-116.
    10. Ouyang, Min & Zhao, Lijing & Pan, Zhezhe & Hong, Liu, 2014. "Comparisons of complex network based models and direct current power flow model to analyze power grid vulnerability under intentional attacks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 403(C), pages 45-53.
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    Cited by:

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    4. Xu, Xiaohan & Huang, Ailing & Shalaby, Amer & Feng, Qian & Chen, Mingyang & Qi, Geqi, 2024. "Exploring cascading failure processes of interdependent multi-modal public transit networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 638(C).

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