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Exploring Vulnerabilities in Voice Command Skills for Connected Vehicles

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Security and Privacy in Cyber-Physical Systems and Smart Vehicles (SmartSP 2023)

Abstract

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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Acknowledgment

This material is based upon work supported in part by the National Science Foundation (NSF) under Grant No. 2239605, 2129164, 2228617, 2120369, 2226339, and 2037798.

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Correspondence to Hongxin Hu .

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© 2024 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Ding, W. et al. (2024). Exploring Vulnerabilities in Voice Command Skills for Connected Vehicles. In: Chen, Y., Lin, CW., Chen, B., Zhu, Q. (eds) Security and Privacy in Cyber-Physical Systems and Smart Vehicles. SmartSP 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 552. Springer, Cham. https://doi.org/10.1007/978-3-031-51630-6_1

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  • DOI: https://doi.org/10.1007/978-3-031-51630-6_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-51629-0

  • Online ISBN: 978-3-031-51630-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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