US2 : An unified safety and security analysis method for autonomous vehicles

J. Cui; G. Sabaliauskaite

doi:10.1007/978-3-030-03402-3_42

US² : An unified safety and security analysis method for autonomous vehicles

J. Cui, G. Sabaliauskaite

Singapore University of Technology and Design

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

7 Citations (Scopus)

Abstract

Autonomous Vehicles (AVs) are security-critical systems, and safety is primary goal for AVs. The high degree of integration between safety and security introduces new problem: how to systematically analyse safety and security? In this paper, we propose an Unified Safety and Security analysis method (US 2 ), which uses a simple quantification scheme to assess safety hazards and security threats simultaneously. US 2 is a useful tool for safety and security requirements specification and selection of countermeasures. Example of US 2 application is included to highlight the strengths of the proposed method.

Original language	English
Title of host publication	Advances in Information and Communication Networks
Subtitle of host publication	Proceedings of the 2018 Future of Information and Communication Conference
Editors	Kohei Arai, Supriya Kapoor, Rahul Bhatia
Publisher	Springer
Pages	600-611
Number of pages	12
Volume	886
ISBN (Electronic)	978-3-030-03402-3
ISBN (Print)	978-3-030-03401-6
DOIs	https://doi.org/10.1007/978-3-030-03402-3_42
Publication status	Published - 2019
Externally published	Yes
Event	Future of Information and Communication Conference 2018 - , Singapore Duration: 5 Apr 2018 → 6 Apr 2018 https://saiconference.com/Conferences/FICC2018

Publication series

Name	Advances in Intelligent Systems and Computing

Conference

Conference	Future of Information and Communication Conference 2018
Abbreviated title	FICC
Country/Territory	Singapore
Period	5/04/18 → 6/04/18
Internet address	https://saiconference.com/Conferences/FICC2018

Keywords

Autonomous vehicles
Safety
Security
ISO 26262
SAE J3016
SAE J3061

Access to Document

10.1007/978-3-030-03402-3_42

Cite this

Cui, J., & Sabaliauskaite, G. (2019). US² : An unified safety and security analysis method for autonomous vehicles. In K. Arai, S. Kapoor, & R. Bhatia (Eds.), Advances in Information and Communication Networks: Proceedings of the 2018 Future of Information and Communication Conference (Vol. 886, pp. 600-611). (Advances in Intelligent Systems and Computing). Springer. https://doi.org/10.1007/978-3-030-03402-3_42

US² : An unified safety and security analysis method for autonomous vehicles. / Cui, J.; Sabaliauskaite, G.
Advances in Information and Communication Networks: Proceedings of the 2018 Future of Information and Communication Conference. ed. / Kohei Arai; Supriya Kapoor; Rahul Bhatia. Vol. 886 Springer, 2019. p. 600-611 (Advances in Intelligent Systems and Computing).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Cui, J & Sabaliauskaite, G 2019, US² : An unified safety and security analysis method for autonomous vehicles. in K Arai, S Kapoor & R Bhatia (eds), Advances in Information and Communication Networks: Proceedings of the 2018 Future of Information and Communication Conference. vol. 886, Advances in Intelligent Systems and Computing, Springer, pp. 600-611, Future of Information and Communication Conference 2018, Singapore, 5/04/18. https://doi.org/10.1007/978-3-030-03402-3_42

Cui J, Sabaliauskaite G. US² : An unified safety and security analysis method for autonomous vehicles. In Arai K, Kapoor S, Bhatia R, editors, Advances in Information and Communication Networks: Proceedings of the 2018 Future of Information and Communication Conference. Vol. 886. Springer. 2019. p. 600-611. (Advances in Intelligent Systems and Computing). Epub 2018 Dec 6. doi: 10.1007/978-3-030-03402-3_42

Cui, J. ; Sabaliauskaite, G. / US² : An unified safety and security analysis method for autonomous vehicles. Advances in Information and Communication Networks: Proceedings of the 2018 Future of Information and Communication Conference. editor / Kohei Arai ; Supriya Kapoor ; Rahul Bhatia. Vol. 886 Springer, 2019. pp. 600-611 (Advances in Intelligent Systems and Computing).

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