• DocumentCode
    2701643
  • Title

    Biometrie keys based on pseudorandom sequences

  • Author

    Hogo, Mofreh A.

  • Author_Institution
    Electr. Eng. Technol. Dept., Benha Univ., Benha, Egypt
  • fYear
    2012
  • fDate
    15-18 Oct. 2012
  • Firstpage
    110
  • Lastpage
    118
  • Abstract
    This paper introduces a new technique for Key Generation based on fingerprints, Genetic Algorithms, and pseudorandom generator. The proposed technique can be applied in block ciphering techniques to enhance its performance (increase its complexity space). The paper introduces the different stages of the key generation sub-system; including preprocessing and features extraction to represent the fingerprints signature (ID). Secondly the computation of genetic biometric signature ID, the third stage is computation of the pseudorandom generator to generate the different keys for 3DES. Results analysis proved that; the generated keys were strong when compared with the weak or semi weak keys. The proposed key generation technique increases the key space as well as it increases the total overheads on the encryption system due to the extra operations added but these overheads can be neglected when compared with the strong generated keys and its high complexity space.
  • Keywords
    feature extraction; fingerprint identification; genetic algorithms; image coding; image sequences; 3DES; biometric key generation subsystem; block ciphering techniques; encryption system; feature extraction; fingerprint signature; genetic algorithms; genetic biometric signature ID; pseudorandom generator; pseudorandom sequences; Bifurcation; Encryption; Feature extraction; Fingerprint recognition; Fingers; Standards; Vectors; Bifurcation; Biometrie Signature; DES; Genetic Algorithm; Minutiae; Pseudorandom Generator;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Security Technology (ICCST), 2012 IEEE International Carnahan Conference on
  • Conference_Location
    Boston, MA
  • ISSN
    1071-6572
  • Print_ISBN
    978-1-4673-2450-2
  • Electronic_ISBN
    1071-6572
  • Type

    conf

  • DOI
    10.1109/CCST.2012.6393545
  • Filename
    6393545