STATION: Gesture-Based Authentication for Voice Interfaces
- Authors
- Park, Sungbin; Wang, Xueqiang; Chen, Kai; Lee, Yeonjoon
- Issue Date
- Jun-2024
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Keywords
- Security and Privacy; Device Security; Low cost Sensors and Devices; Sensor Signal Processing; Gesture-based Authentication; Acoustic Sensing
- Citation
- IEEE Internet of Things Journal, v.11, no.12, pp 1 - 16
- Pages
- 16
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEEE Internet of Things Journal
- Volume
- 11
- Number
- 12
- Start Page
- 1
- End Page
- 16
- URI
- https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/118912
- DOI
- 10.1109/JIOT.2024.3382721
- ISSN
- 2327-4662
- Abstract
- 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 paper proposes, 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. 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 shows high accuracy with a False Accept Rate (FAR) of 0.08% and False Reject Rate (FRR) of 3.10% for users within 1.5m of the device.
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