DocumentCode
181751
Title
Gaussian fuzzy commitment
Author
Han Vinck, A.J. ; Jivanyan, A. ; Winzen, J.
Author_Institution
Inst. for Exp. Math., Univ. of Duisburg-Essen, Essen, Germany
fYear
2014
fDate
26-29 Oct. 2014
Firstpage
571
Lastpage
574
Abstract
We discuss the protection of Gaussian biometric templates. We first introduce the Juels-Wattenberg for binary biometrics, where the binary biometrics are a result of hard-quantized Gaussian biometrics. The Juels-Wattenberg scheme adds a random binary code word to the biometric for privacy reasons and to allow errors in the biometric at authentication. We modify the Juels- Wattenberg scheme in such a way that we do not have to quantize the biometrics. We investigate and compare the performance of both approaches.
Keywords
Gaussian processes; authorisation; biometrics (access control); data privacy; fuzzy set theory; Gaussian biometric template protection; Gaussian fuzzy commitment; Juels-Wattenberg scheme; binary biometrics; hard-quantized Gaussian biometrics; random binary code word; Australia; Authentication; Decoding; Error analysis; Error correction codes; Noise; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory and its Applications (ISITA), 2014 International Symposium on
Conference_Location
Melbourne, VIC
Type
conf
Filename
6979908
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