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Secure fuzzy fingerprint vault against correlation attack

Authors
Lee, SungjuChoi, Woo YongMoon, DaesungChung, YongwhaKim, Juman
Issue Date
25-9월-2009
Publisher
IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG
Keywords
fingerprint recognition; fuzzy vault; correlation attack
Citation
IEICE ELECTRONICS EXPRESS, v.6, no.18, pp.1368 - 1373
Indexed
SCIE
SCOPUS
Journal Title
IEICE ELECTRONICS EXPRESS
Volume
6
Number
18
Start Page
1368
End Page
1373
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/119295
DOI
10.1587/elex.6.1368
ISSN
1349-2543
Abstract
The fuzzy vault scheme has emerged as a promising solution to the user privacy and the fingerprint template security problems. Recently, however, this scheme is shown to be susceptible to a correlation attack that finds the real minutiae using multiple vaults enrolled for different applications. To protect the fuzzy fingerprint vault from the correlation attack, we propose an approach to add chaffs in a more structured way such that distinguishing the fingerprint minutiae and the chaff points obtained from two applications is computationally hard. Experimental results show that the proposed approach achieves much secure performance than adding chaffs randomly without a significant degradation of the verification accuracy.
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College of Science and Technology > Department of Computer Convergence Software > 1. Journal Articles
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