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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2018
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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 |
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Software Engineering ZOU, Yongpan ZHAO, Meng ZHOU, Zimu LIN, Jiawei LI, Mo WU, Kaishun BiLock: User authentication via dental occlusion biometrics |
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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. |
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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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