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Cybersecurity Management Strategy of Automobile Supply Chain

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

Author

Listed:
  • Xu Liu

    (China Automotive Technology and Research Center Co., Ltd)

  • Haijun Wang

    (China Automotive Technology and Research Center Co., Ltd)

  • Shubin Tao

    (China Automotive Technology and Research Center Co., Ltd)

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.

Suggested Citation

  • Xu Liu & Haijun Wang & Shubin Tao, 2023. "Cybersecurity Management Strategy of Automobile Supply Chain," Advances in Economics, Business and Management Research, in: Seifedine Kadry & Yingchen Yan & Junjie Xia (ed.), Proceedings of the 2022 3rd International Conference on Big Data Economy and Information Management (BDEIM 2022), pages 276-283, Springer.
  • Handle: RePEc:spr:advbcp:978-94-6463-124-1_33
    DOI: 10.2991/978-94-6463-124-1_33
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