Determining the Probability of Cyberattacks

Pavel Yermalovich
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引用次数: 6

Abstract

Abstract The use of information is inextricably linked with its security. The presence of vulnerabilities enables a third party to breach the security of information. Threat modeling helps to identify those infrastructures, which would be most likely exposed to cyberattacks. In some cases, however, threat modeling can not be classified as sufficient method of protection. This paper entitled “Determining the probability of cyberattacks” presents an analysis of different techniques with an attempt to identify the most informative parameters and cyberattack prediction markers, which would lay the foundation for the development of cyberattack probability functions. Next, it would be relevant to design such cyberattack probability functions, which would be used upon the initial identification of a cyberattack. The findings of this research could be applied during the future assessment of risk levels of information systems to ensure more effective information security management.
确定网络攻击的可能性
摘要信息的使用与信息的安全性有着千丝万缕的联系。漏洞的存在使第三方能够破坏信息的安全性。威胁建模有助于识别那些最有可能受到网络攻击的基础设施。然而,在某些情况下,威胁建模不能被归类为充分的保护方法。这篇题为“确定网络攻击的概率”的论文分析了不同的技术,试图识别最具信息量的参数和网络攻击预测标记,这将为网络攻击概率函数的发展奠定基础。接下来,设计这样的网络攻击概率函数是相关的,它将在网络攻击的初始识别时使用。本研究结果可应用于未来资讯系统风险等级评估,以确保更有效的资讯安全管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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