• DocumentCode
    2739175
  • Title

    Image encryption in the fractional-order domain

  • Author

    Radwan, Ahmed G. ; Abd-El-Hafiz, Salwa K. ; AbdElHaleem, Sherif H.

  • Author_Institution
    Engineering Mathematics Dept., Faculty of Engineering, Cairo University, 12613, Giza, Egypt
  • fYear
    2012
  • fDate
    10-11 Oct. 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents a new image encryption scheme based on the fractional-order Lorenz system which gives more degrees of freedom in key generation. In the modified fractional-order system, the key length is doubled using the three fractional-orde r parameters beside the three initial conditions, which makes it invulnerable to brute-force attacks. In addition, using a very simple algorithm, based on pixel confusion only, strongly encrypted images are produced. Such an algorithm can be used in real time applications. To evaluate the algorithm and analyze the encryption results, a standard image is used. A comparison of the colored correlation coefficients (horizontal, vertical, diagonal) for different cases with respect to a fractional-order parameter and another system parameter are introduced. Moreover, the encrypted image shows high sensitivity to the fractional-order key, which appears from the wrong decryption with 0.1% change of the fractional-order parameter.
  • Keywords
    cryptography; image coding; brute-force attacks; colored correlation coefficients; fractional-order Lorenz system; fractional-order domain; image encryption scheme; key generation; modified fractional-order system; pixel confusion; Chaos; Correlation; Encryption; Histograms; Standards; Chaos; Cryptanalysis; Encryption; Fractional calculus; Fractional-order encryption;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering and Technology (ICET), 2012 International Conference on
  • Conference_Location
    Cairo
  • Print_ISBN
    978-1-4673-4808-9
  • Type

    conf

  • DOI
    10.1109/ICEngTechnol.2012.6396148
  • Filename
    6396148