City Research Online

The risk assessment of ERTMS-based railway systems from a cyber security perspective: Methodology and lessons learned

Bloomfield, R. E., Bendele, M., Bishop, P. G. , Stroud, R. & Tonks, S. (2016). The risk assessment of ERTMS-based railway systems from a cyber security perspective: Methodology and lessons learned. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). First International Conference, RSSRail 2016, 28-30 Jun 2016, Paris, France. doi: 10.1007/978-3-319-33951-1_1

Abstract

The impact that cyber issues might have on the safety and resilience of railway systems has been studied for more than five years by industry specialists and government agencies. This paper presents some of the work done by Adelard in this area, ranging from an analysis of potential vulnerabilities in the ERTMS specifications through to a high-level cyber security risk assessment of a national ERTMS implementation and detailed analysis of particular ERTMS systems on behalf of the GB rail industry. The focus of the paper is on our overall methodology for security-informed safety and hazard analysis. Lessons learned will be presented but of course our detailed results remain proprietary or sensitive and cannot be published.

Publication Type: Conference or Workshop Item (Paper)
Additional Information: This paper has been published in final form by Springer: Bloomfield, R. E., Bendele, M., Bishop, P. G., Stroud, R. & Tonks, S. (2016). The risk assessment of ERTMS-based railway systems from a cyber security perspective: Methodology and lessons learned. Lecture Notes in Computer Science, 9707, pp 3-19. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-33951-1_1.
Publisher Keywords: Security assessment, safety-critical systems, security-informed safety, ERTMS, railway signaling systems
Subjects: T Technology > TF Railroad engineering and operation
Departments: School of Science & Technology > Computer Science > Software Reliability
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