• DocumentCode
    2520873
  • Title

    Image encryption based on chaotic maps

  • Author

    Fridrich, Jiri

  • Author_Institution
    Dept. of Syst. Sci., State Univ. of New York, Binghamton, NY, USA
  • Volume
    2
  • fYear
    1997
  • fDate
    12-15 Oct 1997
  • Firstpage
    1105
  • Abstract
    In this paper, it is shown how to adapt certain invertible chaotic 2D maps on a torus or on a square to create new symmetric block encryption schemes. The schemes are especially useful for encryption of large amounts of data, such as digital images or electronic databases. A chaotic map is first generalized by introducing parameters and then discretized to a finite square lattice of points which represent pixels or some other data items. Although the discretized map is a permutation and thus cannot be chaotic, it shares certain sensitivity and mixing properties with its continuous counterpart as long as the number of iterations remains small. It is shown that for the 2D baker map the permutations behave as typical random permutations. The discretized map is further extended to 3D and composed with a simple diffusion mechanism. As a result, a block product encryption scheme is obtained. To encrypt an N×N image, the ciphering map is iteratively applied to the image. This paper is an extension of the work of Pichler and Scharinger (1994, 1996) who first introduced encryption schemes based on 2D baker map
  • Keywords
    chaos; cryptography; image coding; iterative methods; 2D baker map; chaotic maps; digital images; discretized map; finite square lattice; image encryption; iterative method; permutation; symmetric block encryption; Chaos; Chaotic communication; Circuits; Communication system security; Cryptography; Digital images; Image databases; Industrial engineering; Intelligent systems; Lattices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on
  • Conference_Location
    Orlando, FL
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-4053-1
  • Type

    conf

  • DOI
    10.1109/ICSMC.1997.638097
  • Filename
    638097