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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    Titel :

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


    Beteiligte:
    Ji, Haojie (Autor:in) / Wang, Jingyan (Autor:in) / Wang, Liyong (Autor:in) / Chen, Yupeng (Autor:in) / He, Peng (Autor:in) / Jin, Long (Autor:in) / Fang, Junzhe (Autor:in)

    Kongress:

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


    Erschienen in:

    CICTP 2024 ; 409-417


    Erscheinungsdatum :

    11.12.2024




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch