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首页> 外文期刊>Risk analysis >Defense of Cyber Infrastructures Against Cyber-Physical Attacks Using Game-Theoretic Models
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Defense of Cyber Infrastructures Against Cyber-Physical Attacks Using Game-Theoretic Models

机译:基于博弈论模型的网络基础设施防御网络物理攻击

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摘要

The operation of cyber infrastructures relies on both cyber and physical components, which are subject to incidental and intentional degradations of different kinds. Within the context of network and computing infrastructures, we study the strategic interactions between an attacker and a defender using game-theoretic models that take into account both cyber and physical components. The attacker and defender optimize their individual utilities, expressed as sums of cost and system terms. First, we consider a Boolean attack-defense model, wherein the cyber and physical subinfrastructures may be attacked and reinforced as individual units. Second, we consider a component attack-defense model wherein their components may be attacked and defended, and the infrastructure requires minimum numbers of both to function. We show that the Nash equilibrium under uniform costs in both cases is computable in polynomial time, and it provides high-level deterministic conditions for the infrastructure survival. When probabilities of successful attack and defense, and of incidental failures, are incorporated into the models, the results favor the attacker but otherwise remain qualitatively similar. This approach has been motivated and validated by our experiences with UltraScience Net infrastructure, which was built to support high-performance network experiments. The analytical results, however, are more general, and we apply them to simplified models of cloud and high-performance computing infrastructures.
机译:网络基础设施的运营依赖于网络和物理组件,它们容易受到各种偶然和有意的破坏。在网络和计算基础结构的上下文中,我们使用考虑了网络和物理组件的博弈论模型研究攻击者和防御者之间的战略互动。攻击者和防御者优化各自的实用程序,以成本和系统条款之和表示。首先,我们考虑一个布尔攻击防御模型,其中网络和物理子基础设施可能会作为单个单元受到攻击和增强。其次,我们考虑一个组件攻防模型,其中可以攻击和防御其组件,而基础架构则需要最少数量的两个组件才能起作用。我们表明,在两种情况下,均等成本下的纳什均衡可以在多项式时间内计算,并且为基础设施的生存提供了高级的确定性条件。将成功的攻击和防御的概率以及偶然失败的概率合并到模型中后,结果会偏向于攻击者,但定性上保持相似。我们采用UltraScience Net基础架构的经验来激励和验证这种方法,该基础结构旨在支持高性能网络实验。但是,分析结果更为笼统,我们将其应用于简化的云模型和高性能计算基础架构。

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