{"title":"Attack Scenarios Generation Algorithm Based on Discrete Event System Formalism","authors":"Alexis Raynaud, Théo Serru, Nga Nguyen","doi":"10.1145/3672359.3672376","DOIUrl":null,"url":null,"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.","PeriodicalId":330677,"journal":{"name":"ACM Sigada Ada Letters","volume":"137 1","pages":"100 - 104"},"PeriodicalIF":0.0000,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Sigada Ada Letters","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3672359.3672376","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.