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An approach for cascading effects within critical infrastructure systems

机译：关键基础设施系统内级联效应的方法

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As socioeconomic systems continue to develop, their critical infrastructure systems become more intricate and the interdependencies among systems more intensive. This cascading effect on critical infrastructure systems significantly impacts system performance. We develop an approach to quantitatively assess the complex cascading effect on critical infrastructure systems under four different types of attack: (i) random, (ii) malicious, (iii) shell-based and local, and (iv) orientated and local. In the context of these four we study three types of cascading effect- non-cascading, inner-system cascading, and inter-system cascading- in both independent systems and interdependent systems. We model both logical and geographical interdependency. We apply this approach to the Chinese road and railway system and find that (i) the damage done by different types of attack on critical infrastructures systems varies significantly, (ii) under the same type of attack the damage caused by cascading effects on different critical infrastructure systems varies significantly, and (iii) different cascading effects contribute to damage in critical infrastructure systems. These findings indicate that more theoretical and practical research on cascading effects in infrastructure systems under different attacks is needed, especially when the attacks are local and oriented. (C) 2018 Elsevier B.V. All rights reserved.
机译：随着社会经济系统继续开发，其关键基础设施系统变得更加复杂，更密集的更密集的相互依赖性。这种对关键基础设施系统的级联影响显着影响系统性能。我们开发了一种方法，以定量评估四种不同类型攻击的关键基础设施系统的复杂级联效果：（i）随机，（ii）恶意，（iii）基于壳和本地，和（iv）定向和本地。在这四个的背景下，我们研究了三种类型的级联效应 - 非级联，内部系统级联和系统间级联 - 在独立系统和相互依存的系统中。我们模拟了逻辑和地理相互依赖。我们将这种方法应用于中国道路和铁路系统，发现（i）对关键基础设施系统不同类型的攻击所做的损害显着各异，（ii）在相同类型的攻击下因不同临界级联效应造成的损害基础设施系统有显着变化，（iii）不同的级联效应有助于损坏关键基础设施系统。这些发现表明，需要对不同攻击中的基础设施系统中的级联效应的更多理论和实践研究，特别是当攻击是当地和导向时。 （c）2018年elestvier b.v.保留所有权利。

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