一种用于家庭语音助手的2-FA,使用不可听的声学信号

Shaohu Zhang, Anupam Das
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引用次数: 0

摘要

语音助手已被证明容易受到重播攻击、模仿攻击和听不见的语音命令的攻击。现有的防御不能提供实用的解决方案,因为它们要么依赖外部硬件,要么在非常受限的设置下工作。我们为智能家居语音助手推出了一种名为HandLock的基于手势的认证系统,该系统使用内置麦克风和扬声器来产生和感知听不见的声学信号,以检测已知手势的存在。我们提出的方法可以作为第二因素身份验证(2-FA),用于执行特定的敏感操作,如通过语音助手确认在线购买。45名参与者的实验表明,HandLock的平均真阳性率为96.51%,误接受率为0.82%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A 2-FA for home voice assistants using inaudible acoustic signal
Voice assistants have been shown to be vulnerable to replay attacks, impersonation attacks and inaudible voice commands. Existing defenses do not provide a practical solution as they either rely on external hardware or work under very constrained settings. We introduce a hand gesture-based authentication system for smart home voice assistants called HandLock, which uses built-in microphones and speakers to generate and sense inaudible acoustic signals to detect the presence of a known hand gesture. Our proposed approach can act as a second-factor authentication (2-FA) for performing specific sensitive operations like confirming online purchases through voice assistants. The experiments involving 45 participants show that HandLock can achieve on average 96.51% true-positive-rate at the expense of 0.82% false-acceptance-rate.
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