• DocumentCode
    493766
  • Title

    Steganography Defending against High-Order Statistics Analysis

  • Author

    Tang, Guangming ; Liu, Jing

  • Author_Institution
    Dept. of Inf. Security, Zhengzhou Inf. Sci. & Technol. Inst., Zhengzhou
  • Volume
    2
  • fYear
    2009
  • fDate
    7-8 March 2009
  • Firstpage
    1089
  • Lastpage
    1092
  • Abstract
    According to the analysis of Haar wavelet decomposing characteristics and the demonstration about high order statistics invariability, a new embedding scheme resisting high-order statistics analysis is presented. In order to resist steganalysis, the hiding method to preserve high order statistics of H, V, and D sub-bands of images decomposed by Haar wavelet and the approach to generate the set of random embedding location are devised. Finally, the capability of proposed algorithm is discussed in theory and proved by experiments. The results show it possesses perfect imperceptibility and resistance to high order statistics analysis and RS attack.
  • Keywords
    Haar transforms; higher order statistics; image coding; steganography; wavelet transforms; Haar wavelet decomposing characteristics; high-order statistics analysis; image decomposition; steganography; Computer science; Computer science education; Discrete wavelet transforms; Educational technology; Higher order statistics; Information analysis; Resists; Security; Statistical analysis; Steganography; Haar wavelet decomposition; High Order statistics; randomicity; steganographic algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-1-4244-3581-4
  • Type

    conf

  • DOI
    10.1109/ETCS.2009.509
  • Filename
    4959221