异构组件网络系统的联合网络风险评估
Joint Cyber Risk Assessment of Network Systems with Heterogeneous Components
摘要：
网络风险是现代网络系统最常见的风险。然而，由于网络拓扑结构、风险传播和组件的异质性，很难评估联合网络风险。在本文中，我们提出了一种新的向后消除方法来计算网络系统中不同类型的组件所遇到的联合网络风险，此外，还提出了显式公式。某些特定的网络拓扑结构，包括完整的，星型和完整的二分拓扑结构进行了研究。传播深度和妥协概率的联合网络风险的影响进行了分析，使用随机比较。通过模拟实验检验了网络风险的方差和相关性。结果发现，方差和相关性迅速变化时，传播深度从其初始值的增加。此外，数值例子也被提出。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
