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On the Modeling of Automotive Security: A Survey of Methods and Perspectives

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  • Jingjing Hao

    (School of Mechanical Engineering, Tianjin University, Tianjin University Beiyangyuan Campus, No. 135 Yaguan Road, Jinnan District, Tianjin 300350, China
    CATARC(Tianjin) Automotive Engineering Research Institute, No. 68, Xianfeng EastRoad, Dongli District, Tianjin 300300, China)

  • Guangsheng Han

    (CATARC(Tianjin) Automotive Engineering Research Institute, No. 68, Xianfeng EastRoad, Dongli District, Tianjin 300300, China)

Abstract

As the intelligent car-networking represents the new direction of the future vehicular development, automotive security plays an increasingly important role in the whole car industry chain. On condition that the accompanying problems of security are proofed, vehicles will provide more convenience while ensuring safety. Security models can be utilized as tools to rationalize the security of the automotive system and represent it in a structured manner. It is essential to improve the knowledge about security models by comparing them besides proposing new methods. This paper aims to give a comprehensive introduction to the topic of security models for the Intelligent Transport System (ITS). A survey of the current methodologies for security modeling is conducted and a classification scheme is subsequently proposed. Furthermore, the existing framework and methods to build automotive security models are broadly examined according to the features of automotive electronic system. A number of fundamental aspects are defined to compare the presented methods in order to comprehend the automotive security modeling in depth.

Suggested Citation

  • Jingjing Hao & Guangsheng Han, 2020. "On the Modeling of Automotive Security: A Survey of Methods and Perspectives," Future Internet, MDPI, vol. 12(11), pages 1-17, November.
    • Handle: RePEc:gam:jftint:v:12:y:2020:i:11:p:198-:d:445470
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    References listed on IDEAS

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    1. Piètre-Cambacédès, L. & Bouissou, M., 2013. "Cross-fertilization between safety and security engineering," Reliability Engineering and System Safety, Elsevier, vol. 110(C), pages 110-126.
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    Cited by:

    1. Zhixi Hu & Yi Zhu & Xiaoying Chen & Yu Zhao, 2022. "Safety Verification of Driving Resource Occupancy Rules Based on Functional Language," Future Internet, MDPI, vol. 14(2), pages 1-15, February.

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