Integrated safety and cybersecurity risk analysis of cooperative intelligent transport systems

G. Sabaliauskaite, J. Cui, L.S. Liew, Fengjun Zhou

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

Abstract

Automated Vehicles (AVs), the self driving vehicles, are expected to outperform human drivers and improve road safety in the near future. However, to achieve these goals, they need to communicate with each other and the other road participants and coordinate their actions. The systems of connected cooperative AVs are called Cooperative Intelligent Transport Systems (C-ITS). Similar to AVs, C-ITS are vulnerable to failures and cyberattacks. In our previous work, we proposed a method US 2 for AV risk analysis. This paper extends US 2 and presents a method for integrated C-ITS safety and cybersecurity risk analysis. It takes into consideration automotive safety and cybersecurity standards ISO 26262 and SAE J3061, and utilizes the elements of the previously proposed risk analysis methods US 2 , EVITA, TVRA, and RACE.
Original languageEnglish
Title of host publication2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS)
PublisherIEEE
Edition1
ISBN (Electronic)978-1-5386-2633-7
ISBN (Print)978-1-5386-2634-4
DOIs
Publication statusPublished - 16 May 2019
Externally publishedYes

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  • Cite this

    Sabaliauskaite, G., Cui, J., Liew, L. S., & Zhou, F. (2019). Integrated safety and cybersecurity risk analysis of cooperative intelligent transport systems. In 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS) (1 ed.). IEEE. https://doi.org/10.1109/SCIS-ISIS.2018.00120