• DocumentCode
    1733059
  • Title

    Bio-chaotic Stream Cipher-Based Iris Image Encryption

  • Author

    Alghamdi, Abdullah Sharaf ; Ullah, Hanif ; Mahmud, Maqsood ; Khan, Muhammad Khurram

  • Author_Institution
    Dept. of Software Eng. & Inf. Syst., King Saud Univ., Riyadh, Saudi Arabia
  • Volume
    2
  • fYear
    2009
  • Firstpage
    739
  • Lastpage
    744
  • Abstract
    Conventional cryptography uses encryption key, which are long bit strings and are very hard to memorize such a long random numbers. Also it can be easily attacked by using the brute force search or technique. Instead of traditional cryptography, biometric e.g. fingerprint, iris, face, voice etc uniquely identifies a person and a secure method for stream cipher, because Biometric characteristics are ever living and unstable in nature (with respect to recognition). In this paper we used the idea of bio-chaotic stream cipher which encrypts the images over the electronic media by using a biometric key and a bio-chaotic function. It enhances the security of the images and it should not be compromised. The idea also gives birth to a new kind of stream cipher named bio-chaotic stream cipher. The paper also describes how to generate a key from a biometric string and how to encrypt and decrypt the desired data by using the bio-chaotic function.
  • Keywords
    biometrics (access control); cryptography; image recognition; bio-chaotic stream; biometric string; brute force search; cipher-based iris image encryption; conventional cryptography; electronic media; Biometrics; Chaos; Cryptography; Data security; Feature extraction; Fingerprint recognition; Image matching; Image storage; Iris; Streaming media; Biometric; bio-chaotic algorithm (BCA); cryptography; key; stream cipher;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Science and Engineering, 2009. CSE '09. International Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    978-1-4244-5334-4
  • Electronic_ISBN
    978-0-7695-3823-5
  • Type

    conf

  • DOI
    10.1109/CSE.2009.317
  • Filename
    5282988