基于漏洞互连的网络物理系统信息安全风险评估技术

S. Lysenko, A. Kondratyuk
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引用次数: 0

摘要

近年来,信息安全一直在稳步发展。每个组织都依赖于信息技术和网络物理系统的信息安全来成功地执行其工作。这不仅是做生意稳定的条件,而且是未来发展最重要的战略因素,即使在当前非常动荡的环境中也是如此。网络物理系统可以包含各种各样的实体,从办公网络、财务和人事系统到高度专业化的系统。网络攻击是网络物理系统快速发展的主要原因,网络攻击已成为威胁网络物理系统安全的主要威胁之一。对风险评估方法的研究较多,对网络物理系统安全风险的量化研究较少。本文提出了一种基于漏洞互连的网络物理系统信息安全风险评估技术。技术使用两个指标来量化风险:攻击成功的概率和基于漏洞图的攻击后果指数。第一个指标——成功攻击的概率指数是在考虑到漏洞之间的相互依赖性的情况下计算的,第二个指标在计算攻击后果指数时考虑了网络攻击对物理区域的影响。通过定量实验验证了系统风险和最优攻击目标的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
TECHNIQUE FOR THE RISK ASSESSING OF THE CYBERPHYSICAL SYSTEMS’ INFORMATION SECURITY BASED ON THE VULNERABILITIES’ INTERCONNECT
Information security has been growing steadily in recent times. Every organization depends on information technology and information security of cyberphysical systems to successfully perform its work. This has become not just a condition for the stability of doing business, but the most important strategic factor for its future development, even in the current, very turbulent environment. Cyberphysical systems can contain a wide variety of entities, ranging from office networks, financial and personnel systems to highly specialized systems. The rapid development of cyber-physical systems has become due to the large number of cyberattacks, which have become one of the most powerful threats to the security of cyber-physical systems. Many studies have been conducted on the risk assessment method, and limited work has been published on quantifying the security risk of cyber-physical systems. In this paper, a technique for the risk assessing of the cyber-physical systems’ information security based on the vulnerabilities’ interconnect is proposed. Technique operates with two indicators to quantify the risk: the probability of attack success and the index of the consequences of the attack based on the graph of the vulnerability. The first indicator - the index of the probability of a successful attack is calculated taking into account the interdependencies between vulnerabilities, the second indicator when calculating the index of the consequences of the attack takes into account the impact on the physical area resulting from cyberattack. A quantitative experimental example showed whether a system risk and an optimal attack target are possible.
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