Proceedings of the 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022)

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On the Criteria for Cybersecurity and Risk Assessment Based on ISO/SAE 21434 for the Application of Autonomous Vehicle

Cybersecurity for the Application of Autonomous Vehicle

Authors
Yi Liu1, Xuezhu Yang1, Muxi Li1, *, Miao Wu1, Chengrui Sun1, Shiying Zhou2
1E&E Research Department of Intelligent Connected Vehicle Development Institute, FAW, China
2General Research and Development Institute, FAW, China
*Corresponding author. Email: limuxi@faw.com.cn
Corresponding Author
Muxi Li
Available Online 30 December 2022.
DOI
10.2991/978-94-6463-108-1_16How to use a DOI?
Keywords
ISO/SAE 21434; Cyber Security; Autonomous Vehicle; Functional Safety; Risk Assessment
Abstract

Recently, as research on autonomous driving technology progresses, the supply of vehicles having various autonomous driving functions is increasing, and autonomous vehicles represented by V2V (Vehicle to Vehicle) and V2X (Vehicle to Everything) are emerging. For the era of autonomous driving, connectivity between vehicles and vehicles, vehicles and the surrounding environment is required based on information and communication technologies such as LTE, 5G, and WiFi. Advances in autonomous driving technology also face new challenges, with security emerging as a top concern as it can become a prime target for cyberattacks as the vehicle’s external networks and connections increase. Therefore, it is necessary to derive the defense requirements in software to respond to such malicious attacks, and it is necessary to apply the verified security coding standard during software development. Recently, the ISO/SAE 21434 international standard replacing SAE J3061 has been established and published in relation to cyber security. In this paper, we propose criteria for cybersecurity and risk assessment methods. In addition, a case study confirms the suitability of the risk level determination according to the proposed evaluation factors and criteria.

Copyright
© 2022 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022)
Series
Advances in Computer Science Research
Publication Date
30 December 2022
ISBN
978-94-6463-108-1
ISSN
2352-538X
DOI
10.2991/978-94-6463-108-1_16How to use a DOI?
Copyright
© 2022 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Yi Liu
AU  - Xuezhu Yang
AU  - Muxi Li
AU  - Miao Wu
AU  - Chengrui Sun
AU  - Shiying Zhou
PY  - 2022
DA  - 2022/12/30
TI  - On the Criteria for Cybersecurity and Risk Assessment Based on ISO/SAE 21434 for the Application of Autonomous Vehicle
BT  - Proceedings of the 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022)
PB  - Atlantis Press
SP  - 134
EP  - 143
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-108-1_16
DO  - 10.2991/978-94-6463-108-1_16
ID  - Liu2022
ER  -