Attack Scenarios Generation Algorithm Based on Discrete Event System Formalism

Alexis Raynaud, Théo Serru, Nga Nguyen
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Abstract

To help automatize the security risk assessment process of Cyber-Physical Systems (CPS), we propose a tool based on Discrete Event Systems (DES) to model the architecture and the behavior of CPS in the presence of cyberattacks. Then, we present a lightweight algorithm to generate all the attack scenarios threatening a system, i.e. the sequences of attacks leading to a critical state (e.g. loss of control, collision, etc.). This kind of generation being prone to combinatorial explosion, our algorithm embeds state-space reduction capabilities focused on the specificities of cyber-physical attacks. Finally, we illustrate the performance of our algorithm on a case study: the navigation system of an autonomous vessel. This work can be seen as an alternative to heavy tools expressed in specific languages. It is open source and aims to give a good compromise between expressiveness, modeling time and computational power.
基于离散事件系统形式的攻击场景生成算法
为了帮助实现网络物理系统(CPS)安全风险评估过程的自动化,我们提出了一种基于离散事件系统(DES)的工具,用于模拟网络攻击情况下 CPS 的架构和行为。然后,我们提出了一种轻量级算法,用于生成威胁系统的所有攻击场景,即导致临界状态(如失控、碰撞等)的攻击序列。这种生成方式容易导致组合爆炸,而我们的算法则针对网络物理攻击的特殊性,嵌入了状态空间缩减功能。最后,我们在一个案例研究中说明了我们算法的性能:自主船舶的导航系统。这项工作可被视为用特定语言表达的重型工具的替代方案。它是开源的,目的是在表达能力、建模时间和计算能力之间实现良好的折中。
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