An Empirical Model Analysis of the Typical Cross-border Scenarios of Automotive Data
Authors: 
Zhiai Qin, Jia Zhao, Peng GeAuthors Info & Claims
Pages 575 - 581
Abstract
As a new type of production factor, data is playing a leading role in the transformation of the automotive industry. Governments and enterprises in different countries around the world are increasingly aware of the greater commercial value and growth potential brought by the data resources to the industry. This paper analyzes the typical scenarios and case models of cross-border data flow from the perspective regarding the compliance path of automotive data export, which identifies related security risks and proposes countermeasures, and looks into the future of regulatory paths.
References
[1]
Qin Zhiai, Ge Peng and Liu Yu. 2023 Where Does the Security of Automotive Data Export Go?. Automobiles and Accessories, 04: 50-53;
[2]
Zuo Xiaodong. 2022 How to Understand China's Current Data Export Security Management System. Shanghai Quality, 09: 29-30;
[3]
Li Rui, Jia Shen, Li Menghan and Ma Yue. (CGGT), 2023. Recent Trends and Practical Guidelines for the Application of Data Export Security Assessment. https://user.guancha.cn/main/content?id=1018451&s=fwtjgzwz;
[4]
Wu Haiyan, Chen Pu, Chen Yaliang, Mi Ang and Dai Qinyun. 2022 Research on Domestic and Foreign Governance Mechanisms and Policies for the Data Security of Intelligently Connected Vehicles. Telecom Express, 09: 27-33;
[5]
Chen Siqi. 2023 Research on Legal Issues of the Cross-border Data Flow of Intelligently Connected Vehicles. Network Security Technology and Application, 04: 146-148;
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Bian Xudong, Zhang Qiao and Li Cuping. 2022 Analysis of the Management Models of Cross-border Data Flow for Intelligently Connected Vehicles. Integrated Circuit Applications, 39 (11): 29-31;
[7]
Li Rui, Jia Shen and Li Menghan. (CGGT), 2022. Inventory common data export risk scenarios. http://society.sohu.com/a/582719059_610982;
[8]
Liu Yany, Liu Dong, Sun Yaping, Ma Yumeng, and Liu Zhicheng. 2023 Research and Reflection on the Security Assessment of Outbound Vehicle Networking Data. Confidential Science and Technology, 07: 16-22;
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Zhou Nianli and Yu Meiyue. (China Trade News), 2023. The Timely Innovative Exploration of Cross-border Data Flow System in Free-trade Zone (Hong Kong). https://www.chinatradenews.com.cn/content/202304/13/c150413.html.
Index Terms
- An Empirical Model Analysis of the Typical Cross-border Scenarios of Automotive Data
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Information
Published In
March 2024
676 pages
ISBN:9798400718212
DOI:10.1145/3672919
Copyright © 2024 ACM.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 24 July 2024
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- Refereed limited
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CSAIDE 2024
CSAIDE 2024: 2024 3rd International Conference on Cyber Security, Artificial Intelligence and Digital Economy
March 1 - 3, 2024
Nanjing, China
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