Research on the security of automotive domain controller systems based on trusted execution environment
Authors: 
Zhongyue Li, Yanan Zhang, Xianfeng Jia, Chenglong Pan, Pingyi Liu, Xu LuAuthors Info & Claims
Zhongyue Li, Yanan Zhang, Xianfeng Jia, Chenglong Pan, Pingyi Liu, Xu LuAuthors Info & ClaimsPages 229 - 235
Abstract
With the continuous development of automotive technology, the security issues of automotive systems have become increasingly prominent. Traditional automotive systems have many potential security risks, such as remote attacks, vehicle data leakage, and unauthorized access. To address these issues, researchers and car manufacturers have started focusing on the application of trusted execution environments. A trusted execution environment is a secure computing environment that provides hardware and software-level security protection, safeguarding sensitive data and performing critical tasks. Introducing trusted execution environments into automotive domain controllers can effectively enhance the security and reliability of the system. This study aims to explore the security of automotive domain controller systems based on trusted execution environments. We will investigate existing trusted execution environment technologies and analyze their application value in the automotive field, then we will explore the impact of trusted execution environments on the security of automotive domain controller systems as well. By conducting in-depth research on the application of trusted execution environments in the automotive field, we can provide guidance and recommendations to car manufacturers and researchers on how to improve the security of automotive domain controller systems. The ultimate goal is to build more security and more reliable automotive systems, protecting user privacy and data security.
References
[1]
Li Xiaoxia, Wang Jianfeng, Wang Yuanbo. Domain Control-based Electronic and Electrical Architecture Platform [J]. Automotive Electrician, 2023 (08): 37-39.
[2]
Ning Yuqiao, Ma Chao, Liu Tianyu. Research on the Security of Intelligent Connected Vehicle T-Box [J]. Automotive Components, 2020 (05): 98-101.
[3]
Wang Pengcheng, Jia Xianfeng, Liu Tianyu. Analysis of In-Vehicle Bus Communication Security [J]. Automotive Practical Technology, 2022, 47(04): 34-37.
[4]
Guo Zhen, Ma Chao, Wang Guoliang, Current Status and Prospects of Intelligent Automobile Information Security Technology [J]. Automotive Components, 2021 (02): 115-121.
[5]
Antonio M,Ruben R,Rodrigo R, A survey on the (in)security of trusted execution environments[J].Computers Security, 2023, 129
[6]
Tong Hua. Constructing a Depth Defense System for Information Systems [J]. Electronic Technology and Software Engineering, 2022 (04): 45-48.
[7]
Wang Pengcheng, Ma Chao, Liu Tianyu, Analysis of Automotive OTA Application Requirements [J]. Automotive Practical Technology, 2021, 46(06): 23-25.
[8]
Ma Chao, Liu Tianyu, Shi Peiji. Literature Review on Automotive Information Security [J]. Equipment Maintenance Technology, 2019 (02): 25-28.
[9]
Liu Zhijuan, Gao Jun, Ding Qifeng, Research on the Progress of Mobile Terminal TEE Technology [J]. Information Network Security, 2018 (02): 84-91.
[10]
Zaina A,Ahmad A,Adel T .STRIDE threat model-based framework for assessing the vulnerabilities of modern vehicles[J].Computers Security, 2023, 133
[11]
Wang Kerui, Tan Qi, Zhang Dezhi. Research on a Modeling Method for Network Space Security Architecture[J]. Information Security and Communication Confidentiality, 2022 (12): 89-98.
[12]
Zhang,Lu,Taal, A risk-level assessment system based on the STRIDE/DREAD model for digital data marketplaces[J].International Journal of Information Security, 2021, 21(3):1-17.
[13]
Hao Jingjing, Han Guangsheng. Research on Information Security Threat Identification and Protection Methods for Intelligent Connected Vehicles [J]. Modern Electronics Technology, 2021, 44(23): 62-66.
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- Research on the security of automotive domain controller systems based on trusted execution environment
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Published In
September 2023
577 pages
ISBN:9798400716362
DOI:10.1145/3660395
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Published: 01 June 2024
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AIBDF 2023
AIBDF 2023: 2023 3rd Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Big Data Forum
September 22 - 24, 2023
Guangzhou, China
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