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Identification of critical locations across multiple infrastructures for terrorist actions

机译:识别恐怖主义行动多个基础设施的关键位置

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摘要

This paper discusses a possible approach to ranking geographic regions that can influence multiple infrastructures. Once ranked, decision makers can determine whether these regions are critical locations based on their susceptibility to terrorist acts. We identify these locations by calculating a value for a geographic region which represents the combined values to the decision makers of all the infrastructures crossing through that region. These values, as well as the size of the geographic regions, are conditional on a minor destructive threat of a given size, e.g,. a bomb that can affect objects within 15 feet of it. This approach first requires an assessment of the users of the system. During this assessment, each user is assigned a performance index (PI) based on the disutility of the loss of each infrastructure's resource via multi-attribute utility theory (MAUT). A Monte Carlo network analysis is then performed to develop importance measures (IM) for the elements of each infrastructure for their ability to service each user. We combine the IMs with the user PIs to a value that we call valued worth (VW) for each infrastructure's elements independently.
机译:本文讨论了一种对可能影响多个基础架构的地理区域进行排名的可行方法。排名一旦确定,决策者便可以根据其对恐怖行为的敏感性来确定这些地区是否是关键地区。我们通过计算一个地理区域的值来识别这些位置,该值代表跨该区域的所有基础设施的决策者的组合值。这些值以及地理区域的大小以例如给定大小的较小破坏性威胁为条件。可能影响其15英尺范围内物体的炸弹。这种方法首先需要对系统用户进行评估。在此评估过程中,会通过多属性效用理论(MAUT)为每个用户分配基于每个基础结构资源损失的无用性的性能指标(PI)。然后,进行蒙特卡洛网络分析,以针对每个基础架构的要素为每个用户提供服务的能力制定重要性度量(IM)。我们将IM与用户PI结合在一起,以得到每个基础架构元素独立的价值(VW)值。

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