Proceedings of the 2022 3rd International Conference on Big Data Economy and Information Management (BDEIM 2022)

Cybersecurity Management Strategy of Automobile Supply Chain

Authors
Xu Liu1, *, Haijun Wang1, Shubin Tao1
1China Automotive Technology and Research Center Co., Ltd, Tianjin, China
*Corresponding author. Email: liuxu2021@catarc.ac.cn
Corresponding Author
Xu Liu
Available Online 29 March 2023.
DOI
10.2991/978-94-6463-124-1_33How to use a DOI?
Keywords
Intelligent connected vehicle; cybersecurity supply chain; cybersecurity system
Abstract

In recent years, the development of intelligent and networked vehicles has been accelerated, innovative technologies have been evolving, and industrial transformation has continued to deepen. At the same time, automobile cybersecurity problems are becoming increasingly prominent, and many risks and hazards caused by automobile cybersecurity incidents have aroused the focus of the regulatory authorities, the industry and the public. As the supply chain of intelligent connected vehicles is long, the main body is diversified and complex, and the cybersecurity protection involves many links, it is easy to form a security gap and capacity shortcomings. From the perspective of industry demand, supplier cybersecurity management is an indispensable link in the construction of automobile cybersecurity management system by automobile manufacturers. At the same time, in order to effectively meet the cybersecurity needs of automobile manufacturers, enterprises in all links of the supply chain need to strengthen their own cybersecurity capacity building. Therefore, in order to improve the overall security level of the industry and promote the healthy development of the industry, it is very necessary to strengthen the cybersecurity guarantee ability of the whole supply chain of intelligent connected vehicles and build a cybersecurity guarantee system covering the whole life cycle of intelligent connected vehicles.

Copyright
© 2023 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 3rd International Conference on Big Data Economy and Information Management (BDEIM 2022)
Series
Advances in Economics, Business and Management Research
Publication Date
29 March 2023
ISBN
10.2991/978-94-6463-124-1_33
ISSN
2352-5428
DOI
10.2991/978-94-6463-124-1_33How to use a DOI?
Copyright
© 2023 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

TY  - CONF
AU  - Xu Liu
AU  - Haijun Wang
AU  - Shubin Tao
PY  - 2023
DA  - 2023/03/29
TI  - Cybersecurity Management Strategy of Automobile Supply Chain
BT  - Proceedings of the 2022 3rd International Conference on Big Data Economy and Information Management (BDEIM 2022)
PB  - Atlantis Press
SP  - 276
EP  - 283
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-124-1_33
DO  - 10.2991/978-94-6463-124-1_33
ID  - Liu2023
ER  -