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Exploring Vulnerabilities in Voice Command Skills for Connected Vehicles

  • Wenbo Ding,
  • Song Liao,
  • Keyan Guo,
  • Fuqiang Zhang,
  • Long Cheng,
  • Ziming Zhao,
  • Hongxin Hu

摘要

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.