论文标题
与异构组件的网络系统的联合网络风险评估
Joint Cyber Risk Assessment of Network Systems with Heterogeneous Components
论文作者
论文摘要
网络风险是现代网络系统遇到的最常见风险。但是，由于网络拓扑，风险传播和组件的异质性，很难评估关节网络风险。在本文中，我们提出了一种新型的向后消除方法，用于计算网络系统中不同类型组件遇到的关节网络风险。此外，还提出了明确的公式。研究了某些特定的网络拓扑，包括完整，星和完整的两目标拓扑。使用随机比较分析了传播深度和折衷概率对关节网络风险的影响。通过模拟实验检查了网络风险的差异和相关性。人们发现，当传播深度从其初始值增加时，差异和相关性都会迅速变化。此外，还提供了数值示例。
Cyber risks are the most common risks encountered by a modern network system. However, it is significantly difficult to assess the joint cyber risk owing to the network topology, risk propagation, and heterogeneities of components. In this paper, we propose a novel backward elimination approach for computing the joint cyber risk encountered by different types of components in a network system; moreover, explicit formulas are also presented. Certain specific network topologies including complete, star, and complete bi-partite topologies are studied. The effects of propagation depth and compromise probabilities on the joint cyber risk are analyzed using stochastic comparisons. The variances and correlations of cyber risks are examined by a simulation experiment. It was discovered that both variances and correlations change rapidly when the propagation depth increases from its initial value. Further, numerical examples are also presented.
