BiLock: User authentication via dental occlusion biometrics

User authentication on smart devices is indispensable to keep data privacy and security. It is especially significant for emerging wearable devices such as smartwatches considering data sensitivity in them. However, conventional authentication methods are not applicable for wearables due to constrai...

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Main Authors: ZOU, Yongpan, ZHAO, Meng, ZHOU, Zimu, LIN, Jiawei, LI, Mo, WU, Kaishun
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Language:English
Published: Institutional Knowledge at Singapore Management University 2018
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Online Access:https://ink.library.smu.edu.sg/sis_research/4692
https://ink.library.smu.edu.sg/context/sis_research/article/5695/viewcontent/BiLock_ubicomp18_pv.pdf
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spelling sg-smu-ink.sis_research-56952020-01-09T07:19:32Z BiLock: User authentication via dental occlusion biometrics ZOU, Yongpan ZHAO, Meng ZHOU, Zimu LIN, Jiawei LI, Mo WU, Kaishun User authentication on smart devices is indispensable to keep data privacy and security. It is especially significant for emerging wearable devices such as smartwatches considering data sensitivity in them. However, conventional authentication methods are not applicable for wearables due to constraints of size and hardware, which makes present wearable devices lack convenient, secure and low-cost authentication schemes. To tackle this problem, we reveal a novel biometric authentication mechanism which makes use of sounds of human dental occlusion (i.e., tooth click). We demonstrate its feasibility by comprehensive measurement study, and design a prototype-BiLock with two Android platforms. Extensive real-world experiments have been conducted to evaluate the accuracy, robustness and security of BiLock in different environments. The results show that BiLock can achieve less than 5% average false reject rate and 0.95% average false accept rate even in a noisy environment. Comparative experiments also demonstrate that BiLock possesses advantages in robustness to noise and security against replay and observation attacks over existing voiceprinting schemes. 2018-09-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/4692 info:doi/10.1145/3264962 https://ink.library.smu.edu.sg/context/sis_research/article/5695/viewcontent/BiLock_ubicomp18_pv.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Software Engineering
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Software Engineering
spellingShingle Software Engineering
ZOU, Yongpan
ZHAO, Meng
ZHOU, Zimu
LIN, Jiawei
LI, Mo
WU, Kaishun
BiLock: User authentication via dental occlusion biometrics
description User authentication on smart devices is indispensable to keep data privacy and security. It is especially significant for emerging wearable devices such as smartwatches considering data sensitivity in them. However, conventional authentication methods are not applicable for wearables due to constraints of size and hardware, which makes present wearable devices lack convenient, secure and low-cost authentication schemes. To tackle this problem, we reveal a novel biometric authentication mechanism which makes use of sounds of human dental occlusion (i.e., tooth click). We demonstrate its feasibility by comprehensive measurement study, and design a prototype-BiLock with two Android platforms. Extensive real-world experiments have been conducted to evaluate the accuracy, robustness and security of BiLock in different environments. The results show that BiLock can achieve less than 5% average false reject rate and 0.95% average false accept rate even in a noisy environment. Comparative experiments also demonstrate that BiLock possesses advantages in robustness to noise and security against replay and observation attacks over existing voiceprinting schemes.
format text
author ZOU, Yongpan
ZHAO, Meng
ZHOU, Zimu
LIN, Jiawei
LI, Mo
WU, Kaishun
author_facet ZOU, Yongpan
ZHAO, Meng
ZHOU, Zimu
LIN, Jiawei
LI, Mo
WU, Kaishun
author_sort ZOU, Yongpan
title BiLock: User authentication via dental occlusion biometrics
title_short BiLock: User authentication via dental occlusion biometrics
title_full BiLock: User authentication via dental occlusion biometrics
title_fullStr BiLock: User authentication via dental occlusion biometrics
title_full_unstemmed BiLock: User authentication via dental occlusion biometrics
title_sort bilock: user authentication via dental occlusion biometrics
publisher Institutional Knowledge at Singapore Management University
publishDate 2018
url https://ink.library.smu.edu.sg/sis_research/4692
https://ink.library.smu.edu.sg/context/sis_research/article/5695/viewcontent/BiLock_ubicomp18_pv.pdf
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