• DocumentCode
    3156037
  • Title

    A Hybrid Approach for Biometric Template Security

  • Author

    Ghany, Kareem Kamal A. ; Hefny, Hesham Ahmed ; Hassanien, Aboul Ella ; Ghali, Neveen I.

  • Author_Institution
    ISSR, Cairo Univ., Cairo, Egypt
  • fYear
    2012
  • fDate
    26-29 Aug. 2012
  • Firstpage
    941
  • Lastpage
    942
  • Abstract
    Privacy and Security has become an increasingly serious ýproblem for any biometric systems. Template protection, ýwhich mainly prevents from data loss and hacking the stored ýtemplates, is one of the most important issues when considering ýprivacy and security. Cancelable biometrics approach Scheme ýhas been proposed to address this problem. On the other hand ýthe symmetric hash functions might be used to increase the ýbiometric security level by making it is hard to attack the ýtemplate. In this paper, a new hybrid approach based on ýcombining approaches based on transformation and ýcryptosystem on fingerprints is applied. The results are ýcompared to a pre-presented approach in [1] showing that the ýnew approach is more efficient as the security of biometric ýtemplate is increased meanwhile the error rate is minimized.
  • Keywords
    cryptography; data privacy; fingerprint identification; transforms; biometric template security level improvement; cancelable biometric approach scheme; data hacking prevention; data loss prevention; error rate minimization; fingerprint cryptosystem approach; fingerprint transformation approach; hybrid approach; privacy problem; symmetric hash functions; template protection; Cryptography; Educational institutions; Error analysis; Fingerprint recognition; Privacy; Transforms; CDP; Cancelable Biometrics; Fingerprints; Security;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Social Networks Analysis and Mining (ASONAM), 2012 IEEE/ACM International Conference on
  • Conference_Location
    Istanbul
  • Print_ISBN
    978-1-4673-2497-7
  • Type

    conf

  • DOI
    10.1109/ASONAM.2012.167
  • Filename
    6425639