DocumentCode :
2119299
Title :
Fuzzy extractors for asymmetric biometric representations
Author :
Li, Qiming ; Guo, Muchuan ; Chang, Ee-Chien
Author_Institution :
Inst. for Infocomm Res., Singapore
fYear :
2008
fDate :
23-28 June 2008
Firstpage :
1
Lastpage :
6
Abstract :
Fuzzy extractors are recently proposed error-tolerant cryptographic primitives that are potentially useful to protect biometric templates. However, there are challenges in adopting these primitives. Firstly, fuzzy extractors require the data obtained during both enrollment and verification to be in the same feature representation. However, for better performance on ROC, multiple high quality samples can be obtained during enrollment, which result in an asymmetric setting whereby data obtained in enrollment and verification are stored in different representations. Secondly, fuzzy extractors only concern about the strength of the secret key extracted, and does not directly assure that privacy is preserved. In this paper, we consider a simplified asymmetric setting and propose a sketch scheme. We analyze the key strength measured by the number of secret bits that can be extracted, and the privacy measured by the information leakage on the user identities. We next apply and investigate the scheme on FVC fingerprint datasets.
Keywords :
biometrics (access control); data privacy; fuzzy set theory; private key cryptography; asymmetric biometric representation; cryptography; fuzzy extractor; information leakage; key strength; privacy; secret key extraction; sketch scheme; Bioinformatics; Biometrics; Cryptography; Data mining; Data security; Fingerprint recognition; Information analysis; Information security; Privacy; Protection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition Workshops, 2008. CVPRW '08. IEEE Computer Society Conference on
Conference_Location :
Anchorage, AK
ISSN :
2160-7508
Print_ISBN :
978-1-4244-2339-2
Electronic_ISBN :
2160-7508
Type :
conf
DOI :
10.1109/CVPRW.2008.4563113
Filename :
4563113
Link To Document :
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