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
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;
Conference_Titel :
Information Theory and its Applications (ISITA), 2014 International Symposium on
Conference_Location :
Melbourne, VIC
