论文标题

WEARID:使用跨域语音相似性对辅助辅助辅助对语音助手的身份验证

WearID: Wearable-Assisted Low-Effort Authentication to Voice Assistants using Cross-Domain Speech Similarity

论文作者

Wang, Chen, Shi, Cong, Chen, Yingying, Wang, Yan, Saxena, Nitesh

论文摘要

由于语音输入的开放性质,语音助理(VA)系统(例如Google Home和Amazon Alexa)面临敏感信息泄漏的高风险(例如,个人时间表和购物帐户)。尽管现有的VA系统可能会采用语音功能来识别用户,但它们仍然容易受到各种声学攻击(例如,模仿,重播和隐藏的命令攻击)。在这项工作中,我们专注于新兴VA系统的安全问题,并旨在保护用户对这些攻击的高度敏感信息。为此,我们建议使用一个系统的系统,该系统使用现成的可穿戴设备(例如智能手表或手镯)作为安全令牌,以将用户的语音命令验证到VA系统。特别是,WearID利用了大多数可穿戴设备的随时可用的运动传感器来描述振动域中的命令声音,并在两个域(即可穿戴的运动传感器与VA设备的麦克风)上检查接收到的命令声,以确保声音来自合法用户。

Due to the open nature of voice input, voice assistant (VA) systems (e.g., Google Home and Amazon Alexa) are under a high risk of sensitive information leakage (e.g., personal schedules and shopping accounts). Though the existing VA systems may employ voice features to identify users, they are still vulnerable to various acoustic attacks (e.g., impersonation, replay and hidden command attacks). In this work, we focus on the security issues of the emerging VA systems and aim to protect the users' highly sensitive information from these attacks. Towards this end, we propose a system, WearID, which uses an off-the-shelf wearable device (e.g., a smartwatch or bracelet) as a secure token to verify the user's voice commands to the VA system. In particular, WearID exploits the readily available motion sensors from most wearables to describe the command sound in vibration domain and check the received command sound across two domains (i.e., wearable's motion sensor vs. VA device's microphone) to ensure the sound is from the legitimate user.

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