M. Farrell, Matthew Bradbury, Rafael C. Cardoso, Michael Fisher, Louise A. Dennis, Clare Dixon, A. Sheik, Hu Yuan, Carsten Maple
{"title":"Security-Minded Verification of Cooperative Awareness Messages","authors":"M. Farrell, Matthew Bradbury, Rafael C. Cardoso, Michael Fisher, Louise A. Dennis, Clare Dixon, A. Sheik, Hu Yuan, Carsten Maple","doi":"10.1109/tdsc.2023.3345543","DOIUrl":null,"url":null,"abstract":"Autonomous robotic systems systems are both safety- and security-critical, since a breach in system security may impact safety. In such critical systems, formal verification is used to model the system and verify that it obeys specific functional and safety properties. Independently, threat modeling is used to analyse and manage the cyber security threats that such systems may encounter. Both verification and threat analysis serve the purpose of ensuring that the system will be reliable, albeit from differing perspectives. In prior work, we argued that these analyses should be used to inform one another and, in this paper, we extend our previously defined methodology for security-minded verification by incorporating runtime verification. To illustrate our approach, we analyse an algorithm for sending Cooperative Awareness Messages between autonomous vehicles. Our analysis centres on identifying STRIDE security threats. We show how these can be formalised, and subsequently verified, using a combination of formal tools for static aspects, namely Promela/SPIN and Dafny, and generate runtime monitors for dynamic verification. Our approach allows us to focus our verification effort on those security properties that are particularly important and to consider safety and security in tandem, both statically and at runtime.","PeriodicalId":13047,"journal":{"name":"IEEE Transactions on Dependable and Secure Computing","volume":null,"pages":null},"PeriodicalIF":7.0000,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Dependable and Secure Computing","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1109/tdsc.2023.3345543","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
引用次数: 0
Abstract
Autonomous robotic systems systems are both safety- and security-critical, since a breach in system security may impact safety. In such critical systems, formal verification is used to model the system and verify that it obeys specific functional and safety properties. Independently, threat modeling is used to analyse and manage the cyber security threats that such systems may encounter. Both verification and threat analysis serve the purpose of ensuring that the system will be reliable, albeit from differing perspectives. In prior work, we argued that these analyses should be used to inform one another and, in this paper, we extend our previously defined methodology for security-minded verification by incorporating runtime verification. To illustrate our approach, we analyse an algorithm for sending Cooperative Awareness Messages between autonomous vehicles. Our analysis centres on identifying STRIDE security threats. We show how these can be formalised, and subsequently verified, using a combination of formal tools for static aspects, namely Promela/SPIN and Dafny, and generate runtime monitors for dynamic verification. Our approach allows us to focus our verification effort on those security properties that are particularly important and to consider safety and security in tandem, both statically and at runtime.
期刊介绍:
The "IEEE Transactions on Dependable and Secure Computing (TDSC)" is a prestigious journal that publishes high-quality, peer-reviewed research in the field of computer science, specifically targeting the development of dependable and secure computing systems and networks. This journal is dedicated to exploring the fundamental principles, methodologies, and mechanisms that enable the design, modeling, and evaluation of systems that meet the required levels of reliability, security, and performance.
The scope of TDSC includes research on measurement, modeling, and simulation techniques that contribute to the understanding and improvement of system performance under various constraints. It also covers the foundations necessary for the joint evaluation, verification, and design of systems that balance performance, security, and dependability.
By publishing archival research results, TDSC aims to provide a valuable resource for researchers, engineers, and practitioners working in the areas of cybersecurity, fault tolerance, and system reliability. The journal's focus on cutting-edge research ensures that it remains at the forefront of advancements in the field, promoting the development of technologies that are critical for the functioning of modern, complex systems.