Security games on infrastructure networks

Saurabh Amin
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引用次数: 1

Abstract

The theory of robust control models the controller-disturbance interaction as a game where disturbance is nonstrategic. The proviso of a deliberately malicious (strategic) attacker should be considered to increase the robustness of infrastructure systems. This has become especially important since many IT systems supporting critical functionalities are vulnerable to exploits by attackers. While the usefulness of game theory methods for modeling cyber-security is well established in the literature, new game theoretic models of cyber-physical security are needed for deriving useful insights on "optimal" attack plans and defender responses, both in terms of allocation of resources and operational strategies of these players. This whitepaper presents some progress and challenges in using game-theoretic models for security of infrastructure networks. Main insights from the following models are presented: (i) Network security game on flow networks under strategic edge disruptions; (ii) Interdiction problem on distribution networks under node disruptions; (iii) Inspection game to monitor commercial non-technical losses (e.g. energy diversion); and (iv) Interdependent security game of networked control systems under communication failures. These models can be used to analyze the attacker-defender interactions in a class of cyber-physical security scenarios.
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基础设施网络上的安全游戏
鲁棒控制理论将控制器与干扰的相互作用建模为一个非策略干扰的博弈。应该考虑故意恶意(战略)攻击者的附带条件,以增加基础设施系统的健壮性。这一点变得尤为重要,因为许多支持关键功能的IT系统容易受到攻击者的攻击。虽然博弈论方法对网络安全建模的有用性已经在文献中得到了很好的建立,但是需要新的网络物理安全博弈论模型来获得关于“最佳”攻击计划和防御者反应的有用见解,无论是在资源分配方面还是在这些参与者的操作策略方面。本文介绍了利用博弈论模型研究基础设施网络安全的一些进展和挑战。本文给出了以下模型的主要见解:(i)战略边缘中断下流量网络的网络安全博弈;节点中断情况下配电网的阻断问题;监测商业非技术损失(例如能源转移)的检查游戏;(四)网络控制系统在通信故障下的相互依赖安全博弈。这些模型可用于分析一类网络物理安全场景中的攻击防御交互。
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Towards foundational verification of cyber-physical systems Accountability in cyber-physical systems From control system security indices to attack identifiability Security games on infrastructure networks A set-theoretic approach for secure and resilient control of Cyber-Physical Systems subject to false data injection attacks
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