基于博弈论的VirLock和Bacteriophage 的比较分析

Dimitris Kostadimas, Kalliopi Kastampolidou, Theodore Andronikos
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摘要

这篇论文的新颖之处在于它的观点,它强调了生物病毒和计算机病毒之间富有成效的相关性。在计算机科学领域,理论概念的研究经常与实际应用相交叉。计算机病毒与其生物病毒有许多共同特征。研究它们的相关性可以增强我们的视野,并最终增强我们成功保护计算机系统和数据免受病毒侵害的能力。博弈论可能是建立生物病毒和计算机病毒之间联系的适当工具。在这项工作中,我们建立了一种众所周知的计算机病毒VirLock与一种同样得到充分研究的生物病毒噬菌体之间的相关性。VirLock是一种可怕的勒索软件,它会对用户文件进行加密,并要求用户支付赎金以恢复数据。通过与生物病毒噬菌体(bacteriophage)相类比,我们发现了概念上的联系,如共同的属性和行为,以及有用的见解。根据这一思路,我们提出了基于博弈论观点的有效策略,这些策略有可能解决由VirLock和其他具有类似行为的病毒引起的感染。此外,我们提出了整合现实世界变量的数学公式,提供了一种衡量病毒严重性和设计稳健防御策略和分析的方法。这种跨学科的探究,融合了博弈论,生物学和计算机科学,促进了我们对病毒行为的理解,为有效对策的发展铺平了道路,同时提出了另一种观点。在整个理论探索中,我们对计算机病毒行为的持续论述做出了贡献,并为解决数字威胁激发了新的途径。特别是,在这项工作中开发的公式和框架可以促进更好的风险分析和评估,并成为渗透测试分析中的有用工具,帮助公司和组织增强其安全性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Comparative Analysis of VirLock and Bacteriophage ϕ6 through the Lens of Game Theory
The novelty of this paper lies in its perspective, which underscores the fruitful correlation between biological and computer viruses. In the realm of computer science, the study of theoretical concepts often intersects with practical applications. Computer viruses have many common traits with their biological counterparts. Studying their correlation may enhance our perspective and, ultimately, augment our ability to successfully protect our computer systems and data against viruses. Game theory may be an appropriate tool for establishing the link between biological and computer viruses. In this work, we establish correlations between a well-known computer virus, VirLock, with an equally well-studied biological virus, the bacteriophage ϕ6. VirLock is a formidable ransomware that encrypts user files and demands a ransom for data restoration. Drawing a parallel with the biological virus bacteriophage ϕ6, we uncover conceptual links like shared attributes and behaviors, as well as useful insights. Following this line of thought, we suggest efficient strategies based on a game theory perspective, which have the potential to address the infections caused by VirLock, and other viruses with analogous behavior. Moreover, we propose mathematical formulations that integrate real-world variables, providing a means to gauge virus severity and design robust defensive strategies and analytics. This interdisciplinary inquiry, fusing game theory, biology, and computer science, advances our understanding of virus behavior, paving the way for the development of effective countermeasures while presenting an alternative viewpoint. Throughout this theoretical exploration, we contribute to the ongoing discourse on computer virus behavior and stimulate new avenues for addressing digital threats. In particular, the formulas and framework developed in this work can facilitate better risk analysis and assessment, and become useful tools in penetration testing analysis, helping companies and organizations enhance their security.
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