• DocumentCode
    2856747
  • Title

    A New LSB Matching Steganographic Method Based on Steganographic Information Table

  • Author

    Qiudong, Yu ; Xiao-Wei Liu

  • Author_Institution
    Dept. of Comput. Sci.&Technol., Tianjin Agric. Univ., Tianjin, China
  • fYear
    2009
  • fDate
    1-3 Nov. 2009
  • Firstpage
    362
  • Lastpage
    365
  • Abstract
    Based on the researches of LSB (least significant bit, i.e. the last bit of a binary pixel value) matching steganographic method and the steganalytic method which aims at histograms of cover images, this paper proposes a new LSB matching steganographic method. A steganographic information table is defined to record the changes which are introduced by the embedded secrete bits. According to the table, the next LSB which has the same pixel value will be judged to add or subtract one dynamically in order to ensure the histogram´s change of cover image is minimized. Therefore, the modified method improves steganographic security and is less vulnerability to attacks compared with LSB matching. The experimental results show that the histograms maintain their attributes, such as peak values and alternative trends, in an acceptable degree and have better performance than LSB matching in the respects of histogram distortion and resistance against existing steganalysis.
  • Keywords
    image colour analysis; image matching; steganography; LSB matching steganographic method; binary pixel value; cover images; least significant bit; steganalytic method; steganographic information table; steganographic security; Eyes; Gray-scale; Histograms; Humans; Information security; Intelligent networks; Intelligent systems; Payloads; Steganography; Streaming media; LSB matching; histogram character function; information security; least significant bit (LSB); steganography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Networks and Intelligent Systems, 2009. ICINIS '09. Second International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-5557-7
  • Electronic_ISBN
    978-0-7695-3852-5
  • Type

    conf

  • DOI
    10.1109/ICINIS.2009.99
  • Filename
    5365753