With the increasing information interaction in intelligent and connected vehicles (ICVs), there are more and more security vulnerabilities in the exploitable data. These vulnerabilities may cause personal privacy leaks, property damage, etc. This paper analyzes the data security risks in the four basic functional areas of ICVs and introduces a novel desensitized data testing framework. This work will provide support for security testing methods for desensitized data in ICVs and provide effective security protection for sensitive personal information in ICVs.


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    Title :

    Research on Risk Analysis and Testing Method of the Data in Intelligent and Connected Vehicles


    Contributors:
    Ji, Haojie (author) / Wang, Jingyan (author) / Wang, Liyong (author) / Chen, Yupeng (author) / He, Peng (author) / Jin, Long (author) / Fang, Junzhe (author)

    Conference:

    24th COTA International Conference of Transportation Professionals ; 2024 ; Shenzhen, China


    Published in:

    CICTP 2024 ; 409-417


    Publication date :

    2024-12-11




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English