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MISTRAL: A game-theoretical model to allocate security measures in a multi-modal chemical transportation network with adaptive adversaries

机译:MISTRAL:一种博弈论模型,用于在具有自适应对手的多式化工运输网络中分配安全措施

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In this paper we present a multi-modal security-transportation model to allocate security resources within a chemical supply chain which is characterized by the use of different transport modes, each having their own security features. We consider security-related risks so as to take measures against terrorist acts which could target critical transportation systems. The idea of addressing security-related issues, by supporting decisions for preventing or mitigating intentional acts on transportation infrastructure, has gained attention in academic research only recently. The decision model presented in this paper is based on game theory and it can be employed to organize intelligence capabilities aimed at securing chemical supply chains. It enables detection and warning against impending attacks on transportation infrastructures and the subsequent adoption of security countermeasures. This is of extreme importance for preventing terrorist attacks and for avoiding (possibly huge) human and economic losses. In our work we also provide data sources and numerical simulations by applying the proposed model to a illustrative multi-modal chemical supply chain. (C) 2015 Elsevier Ltd. All rights reserved.
机译:在本文中,我们提出了一种用于在化学品供应链中分配安全资源的多模式安全性运输模型,该模型的特征在于使用不同的运输模式,每种运输模式都有自己的安全性特征。我们考虑与安全相关的风险,以便采取措施打击可能针对关键运输系统的恐怖行为。通过支持预防或减轻运输基础设施故意行为的决策来解决与安全相关的问题的想法直到最近才在学术研究中得到关注。本文提出的决策模型基于博弈论,可用于组织旨在保护化学品供应链的情报能力。它可以检测和警告对即将发生的对运输基础设施的攻击以及随后采取的安全对策。这对于防止恐怖袭击和避免(可能是巨大的)人员和经济损失至关重要。在我们的工作中,我们还通过将建议的模型应用于说明性的多模式化学品供应链来提供数据源和数值模拟。 (C)2015 Elsevier Ltd.保留所有权利。

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