最优网络安全防御策略和投资的博弈论方法

Ioannis Kalderemidis, Aristeidis Farao, Panagiotis Bountakas, S. Panda, C. Xenakis
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引用次数: 8

摘要

网络安全投资对于组织保护运营活动、发展与客户的信任关系以及维持财务稳定至关重要。网络安全漏洞会导致经济损失,也会损害组织的声誉。保护组织免受网络攻击需要大量投资;然而,众所周知,企业在网络安全和其他技术需求上的预算分配并不均衡。组织必须在其网络安全投资计划中考虑网络安全措施,包括但不限于安全控制。然而,设计一个有效的网络安全投资计划来优化分配网络安全预算是一个主要问题。本文介绍了GTM,一种用于提供最佳网络安全防御策略和投资计划的工具。GTM利用攻击图预测所有可能的网络攻击,利用博弈论模拟网络攻击,利用0-1 backpack优化预算分配。GTM的输出是一个最佳的网络安全策略,其中包括安全控制,以保护组织免受潜在的网络攻击并增强其网络防御。此外,针对三个用例评估了GTM的有效性,并比较了不同场景下不同的攻击者类型。
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GTM: Game Theoretic Methodology for optimal cybersecurity defending strategies and investments
Investments on cybersecurity are essential for organizations to protect operational activities, develop trust relationships with clients, and maintain financial stability. A cybersecurity breach can lead to financial losses as well as to damage the reputation of an organization. Protecting an organization from cyber attacks demands considerable investments; however, it is known that organisations unequally divide their budget between cybersecurity and other technological needs. Organizations must consider cybersecurity measures, including but not limited to security controls, in their cybersecurity investment plans. Nevertheless, designing an effective cybersecurity investment plan to optimally distribute the cybersecurity budget is a primary concern. This paper presents GTM, a methodology depicted as a tool dedicated to providing optimal cybersecurity defense strategies and investment plans. GTM utilizes attack graphs to predict all possible cyber attacks, game theory to simulate the cyber attacks and 0-1 Knapsack to optimally allocate the budget. The output of GTM is an optimal cybersecurity strategy that includes security controls to protect the organisation against potential cyber attacks and enhance its cyber defenses. Furthermore, GTM’s effectiveness is evaluated against three use cases and compared against different attacker types under various scenarios.
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