Biometrics Based Privacy-Preserving Authentication and Mobile Template Protection
Open Access
- 12 June 2018
- journal article
- research article
- Published by Hindawi Limited in Wireless Communications and Mobile Computing
- Vol. 2018, 1-17
- https://doi.org/10.1155/2018/7107295
Abstract
Smart mobile devices are playing a more and more important role in our daily life. Cancelable biometrics is a promising mechanism to provide authentication to mobile devices and protect biometric templates by applying a noninvertible transformation to raw biometric data. However, the negative effect of nonlinear distortion will usually degrade the matching performance significantly, which is a nontrivial factor when designing a cancelable template. Moreover, the attacks via record multiplicity (ARM) present a threat to the existing cancelable biometrics, which is still a challenging open issue. To address these problems, in this paper, we propose a new cancelable fingerprint template which can not only mitigate the negative effect of nonlinear distortion by combining multiple feature sets, but also defeat the ARM attack through a proposed feature decorrelation algorithm. Our work is a new contribution to the design of cancelable biometrics with a concrete method against the ARM attack. Experimental results on public databases and security analysis show the validity of the proposed cancelable template.Keywords
Funding Information
- National Natural Science Foundation of China (61672083, 61370190, 61532021, 61472429, 61402029, CERA 221)
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