• DocumentCode
    2322092
  • 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
  • fYear
    2011
  • fDate
    10-12 Oct. 2011
  • Firstpage
    279
  • Lastpage
    284
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), 2011 International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4577-1827-4
  • Type

    conf

  • DOI
    10.1109/CyberC.2011.54
  • Filename
    6079394