• DocumentCode
    3194976
  • Title

    An image encryption scheme based on generalized synchronization theorem for discrete array systems

  • Author

    Zang, Hongyan ; Min, Lequan

  • Author_Institution
    Appl. Sci. Sch. & Inf. Sch., Univ. of Sci. & Technol. Beijing, Beijing
  • fYear
    2008
  • fDate
    25-27 May 2008
  • Firstpage
    991
  • Lastpage
    995
  • Abstract
    First this paper introduces a discrete Lorenz three-dimensional chaotic (Lorenz) Cellular Neural Network (CNN). Second based on a constructive generalized chaos synchronization (GS) theorem for unidirectionally coupled discrete array system (UCDAS) presented in, and the Lorenz CNN, this paper constructs a coupled GS UCDAS with 51times51times6 cells. The hyper chaotic GS phenomena of the GS UCDAS have been simulated. Third using the GS UCDAS designs an image encryption scheme with a function similar to one-time-pad. The scheme is sensitive to the perturbations of the parameters and the initial conditions of the UCDAS.The key space of the scheme is larger than 10281. The analysis of the key space, sensitivity of key parameters show that this scheme has sound security. Numerical simulations show that our scheme is effective to be used in secure communication.
  • Keywords
    chaos; cryptography; image coding; logic design; neural nets; synchronisation; discrete Lorenz three-dimensional chaotic cellular neural network; discrete array systems; generalized chaos synchronization theorem; generalized synchronization theorem; image encryption scheme; numerical simulations; secure communication; unidirectionally coupled discrete array system; Cellular neural networks; Chaotic communication; Communication system security; Cryptography; Equations; IP networks; Nonlinear dynamical systems; Numerical simulation; Real time systems; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, Circuits and Systems, 2008. ICCCAS 2008. International Conference on
  • Conference_Location
    Fujian
  • Print_ISBN
    978-1-4244-2063-6
  • Electronic_ISBN
    978-1-4244-2064-3
  • Type

    conf

  • DOI
    10.1109/ICCCAS.2008.4657936
  • Filename
    4657936