Vulnerability cloud: A novel approach to assess the vulnerability of critical infrastructure systems

Lingpeng Meng, Xiaobo Yao, Qian Chen, Chuanfeng Han
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Abstract

Critical infrastructures provide citizens with lifeline functions such as water, electricity and energy and so forth. These interdependent infrastructure systems require reliable models for vulnerability measurement and topological controllability against usual disruptions and unusual hazards. This article proposes a novel approach, named vulnerability cloud, to describe vulnerability distribution and assess the vulnerability of critical infrastructure systems. A vulnerability distribution network is developed for simulation of negative impact on each node, with which the results are represented in vulnerability cloud by three metrics of vulnerability. The vulnerability cloud of single‐service and multiservice infrastructure system are proposed, respectively. This approach is applied to a case study of “electric‐gas” interdependent critical infrastructure system. Results show that a node's vulnerability and serviceability is closely related to the node's degree, especially the out‐degree, while overall system's vulnerability is greatly affected by descent rate of coverage of each infrastructural service node. This approach, at the same time, generates probabilistic simulation diagrams to show continuous vulnerability distribution in areas covered by the specified critical infrastructure systems.
脆弱性云:一种评估关键基础设施系统脆弱性的新方法
关键基础设施为市民提供水、电、能源等生命线功能。这些相互依赖的基础设施系统需要可靠的脆弱性测量模型和拓扑可控性,以应对通常的中断和异常危害。本文提出了一种新的方法,称为漏洞云,用于描述关键基础设施系统的漏洞分布和评估漏洞。建立了一个漏洞分布网络,模拟对每个节点的负面影响,并通过三个漏洞度量在漏洞云中表示结果。分别提出了单服务和多服务基础设施系统的漏洞云。该方法应用于“电-气”相互依赖的关键基础设施系统的案例研究。结果表明,节点的脆弱性和可服务性与节点的度,尤其是out度密切相关,而整个系统的脆弱性受各个基础设施服务节点覆盖率下降率的影响较大。同时,该方法生成概率模拟图,以显示指定关键基础设施系统所覆盖区域的连续漏洞分布。
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