• DocumentCode
    2726872
  • Title

    Fuzzy Vault Crypto Biometric Key Based on Fingerprint Vector Features

  • Author

    AlTarawneh, M.S. ; Woo, W.L. ; Dlay, S.S.

  • Author_Institution
    Sch. of Electr. Electron. & Comput. Eng., Univ. of Newcastle, Newcastle upon Tyne
  • fYear
    2008
  • fDate
    25-25 July 2008
  • Firstpage
    452
  • Lastpage
    456
  • Abstract
    This paper presents feature vector based fuzzy vault method for cryptographic key generation from fingerprint data. The proposed method not only outputs high entropy keys, but also conceals the original biometric data such that it is impossible to recover the biometric data even when the stored information in the system is open to an attacker. Simulated results have demonstrated that constructed fuzzy vault crypto biometric key based on fingerprint vector features addresses a replacement of minutiae fingerprint vault representation, where the vector features are used to form the lock set. The size of the fuzzy vault and the degree of the underlying polynomial are needed for reaching the reliable investigated binded key. This results in a high unlocking complexity for attackers with an acceptable unlocking accuracy for the legal users.
  • Keywords
    cryptography; fingerprint identification; fuzzy set theory; cryptographic key generation; fingerprint vector features; fuzzy vault crypto biometric key; minutiae fingerprint vault representation; Authentication; Bioinformatics; Biometrics; Cryptography; Data security; Fingerprint recognition; Fuzzy sets; Information security; Merging; Polynomials; Biometric; Cryptography; Features; Fingerprint; Fuzzy vault; Security;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Systems, Networks and Digital Signal Processing, 2008. CNSDSP 2008. 6th International Symposium on
  • Conference_Location
    Graz
  • Print_ISBN
    978-1-4244-1875-6
  • Electronic_ISBN
    978-1-4244-1876-3
  • Type

    conf

  • DOI
    10.1109/CSNDSP.2008.4610727
  • Filename
    4610727