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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    Titel :

    Exploring Vulnerabilities in Voice Command Skills for Connected Vehicles


    Weitere Titelangaben:

    Lect.Notes Social.Inform.


    Beteiligte:
    Chen, Yu (Herausgeber:in) / Lin, Chung-Wei (Herausgeber:in) / Chen, Bo (Herausgeber:in) / Zhu, Qi (Herausgeber:in) / Ding, Wenbo (Autor:in) / Liao, Song (Autor:in) / Guo, Keyan (Autor:in) / Zhang, Fuqiang (Autor:in) / Cheng, Long (Autor:in) / Zhao, Ziming (Autor:in)

    Kongress:

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



    Erscheinungsdatum :

    05.02.2024


    Format / Umfang :

    12 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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