Title :
Is Fuzzy Vault Scheme Very Effective for Key Binding in Biometric Cryptosystems?
Author :
Liu, Hailun ; Sun, Dongmei ; Xiong, Ke ; Qiu, Zhengding
Author_Institution :
Inst. of Inf. Sci., Beijing Jiaotong Univ., Beijing, China
Abstract :
Fuzzy vault scheme is one of the most popular secret sharing mechanisms. In the scheme two people could share the secret concealed in the vault as long as two data sets A and B overlap with each other substantially. Because the two sets A and B are not required to be identical, many researchers consider the fuzzy vault scheme as one of biometric cryptosystems and try to implement it based on biometric feature data. However, the fuzzy vault scheme is not applicable to biometric feature data, because the scheme is designed based on set differences metric while in biometric systems Euclidean distance metric is often used to measure the similarity between two feature vectors. To improve the traditional fuzzy vault scheme to be applicable to biometric feature data, we propose a multidimensional fuzzy vault scheme, in which data matching could be performed the same as in biometric systems. A simple implementation of proposed multidimensional fuzzy vault scheme is given in this paper. Experimental results based on HA-BJTU palmprint database show the feasibility of proposed multidimensional fuzzy vault scheme.
Keywords :
biometrics (access control); cryptography; Euclidean distance metric; biometric cryptosystem; biometric feature data; data matching; fuzzy vault scheme; secret sharing mechanism; Authentication; Cryptography; Euclidean distance; Feature extraction; Polynomials; Reed-Solomon codes; Vectors; Biometric cryptosystems; Euclidean distance; multidimensional fuzzy vault; palmprint; set differences;
Conference_Titel :
Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), 2011 International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4577-1827-4
DOI :
10.1109/CyberC.2011.54