• DocumentCode
    2795656
  • Title

    An image scrambling algorithm using parameter bases M-sequences

  • Author

    Zhou, Yicong ; Panetta, Karen ; Agaian, Sos

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Tufts Univ., Medford, MA
  • Volume
    7
  • fYear
    2008
  • fDate
    12-15 July 2008
  • Firstpage
    3695
  • Lastpage
    3698
  • Abstract
    Image scrambling is a useful approach to secure the image data by transforming the image into an unintelligible format. This paper introduces a new parameter based M-sequence which can be produced by a series of shift registers. In addition, a new image scrambling algorithm based on the parametric M-sequence is presented. The user can change the security keys, r, which indicates the number of shift operations to be implemented, or the distance parameter p, to generate many different M-sequences. This makes the scrambled images difficult to decode thus providing a high level of security protection for the images. The presented algorithm can encrypt the 2-D or 3-D images in one step. It also shows good performance in the image attacks such as filters (data loss) and noise attacks. The algorithm can be applied in the real-time applications since it is a straightforward process and easily implemented.
  • Keywords
    image registration; image sequences; security of data; M-sequences; distance parameter; filters; image scrambling algorithm; image security protection; Binary sequences; Cryptography; Cybernetics; Data security; Decoding; Information security; Machine learning; Shift registers; Videos; Watermarking; Image scrambling algorithm; parametric M-sequence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2008 International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-2095-7
  • Electronic_ISBN
    978-1-4244-2096-4
  • Type

    conf

  • DOI
    10.1109/ICMLC.2008.4621047
  • Filename
    4621047