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Station: Gesture-Based Authentication for Voice Interfaces
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AI
DOI：10.1109/JIOT.2024.3382721.png)
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摘要
En 中文
The popularity of smart home devices has led to an increase in security incidents happening in smart homes. A key measure to avoid such incidents is to authenticate users before they can interact with smart devices. However, current methods often require additional hardware. This article proposes STATION, a gesture-based authentication system, an effective gesture-based authentication method built on top of the voice interfaces already available in these smart home devices, without adding new hardware. STATION uses a gesture processing pipeline that identifies Doppler-existing frames and detects the direction of arrival of Reflection to authenticate users in low SNR environments and at longer distances. Furthermore, regarding the nature of gesture-based authentication, this system also supports detecting user liveness, preventing replay and synthesis attacks from remote attackers. The evaluation of STATION shows high accuracy with a false acceptance rate (FAR) of 0.08% and false rejection rate (FRR) of 3.10% for users within 1.5 m of the device.
Keyword:
Authentication
Smart homes
Security
Internet of Things
Sonar navigation
Sonar
Signal to noise ratio
Acoustic sensing
device security
gesture-based authentication
low cost sensors and devices
security and privacy
sensor signal processing
期刊
IF:
8.9
论文数:
1.4W
被引数:
7.8W
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