@inproceedings{ba528acc099e441d89a0d533dc3f0ba2,
title = "Exploring Vulnerabilities in Voice Command Skills for Connected Vehicles",
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.",
keywords = "Alexa, Connected Vehicle, Voice Assistant Skills",
author = "Wenbo Ding and Song Liao and Keyan Guo and Fuqiang Zhang and Long Cheng and Ziming Zhao and Hongxin Hu",
note = "Publisher Copyright: {\textcopyright} ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2024.; 1st EAI International Conference on Security and Privacy in Cyber-Physical Systems and Smart Vehicles, SmartSP 2023 ; Conference date: 12-10-2023 Through 13-10-2023",
year = "2024",
doi = "10.1007/978-3-031-51630-6\_1",
language = "English",
isbn = "9783031516290",
series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "3--14",
editor = "Yu Chen and Chung-Wei Lin and Bo Chen and Qi Zhu",
booktitle = "Security and Privacy in Cyber-Physical Systems and Smart Vehicles - First EAI International Conference, SmartSP 2023, Proceedings",
address = "Germany",
}