Voice assistant platforms have revolutionized user interactions with connected vehicles, providing the convenience of controlling them through simple voice commands. However, this innovation also brings about significant cyber-risks to voice-controlled vehicles. This paper presents a novel attack that showcases the ability of a “malicious” skill, utilizing the skill ranking system on the Alexa platform, to hijack voice commands originally intended for a benign third-party connected vehicle skill. Through our evaluation, we demonstrate the effectiveness of this attack by successfully hijacking commonly used commands in commercial connected vehicle skills.


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    Title :

    Exploring Vulnerabilities in Voice Command Skills for Connected Vehicles


    Additional title:

    Lect.Notes Social.Inform.


    Contributors:
    Chen, Yu (editor) / Lin, Chung-Wei (editor) / Chen, Bo (editor) / Zhu, Qi (editor) / Ding, Wenbo (author) / Liao, Song (author) / Guo, Keyan (author) / Zhang, Fuqiang (author) / Cheng, Long (author) / Zhao, Ziming (author)

    Conference:

    International Conference on Security and Privacy in Cyber-Physical Systems and Smart Vehicles ; 2023 ; Chicago, IL, USA October 12, 2023 - October 16, 2023



    Publication date :

    2024-02-05


    Size :

    12 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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