Blind Steganalysis of Mp3Stego Articles uri icon

publication date

  • September 2010

start page

  • 1787

end page

  • 1799


  • 5


  • 26

International Standard Serial Number (ISSN)

  • 1016-2364


  • In this article, we propose a scheme for detecting hidden messages in compressed audio files produced by MP3Stego, as our literature search has found no previous work on successful steganalysis of MP3Stego. We
    extract moment statistical features on the second derivatives, as well
    as Markov transition features and neighboring joint density of the MDCT
    coefficients based on each specific frequency band on MPEG-1 Audio Layer
    3. A support vector machine is applied to different feature sets for
    classification. Experimental results show that our approach is
    successful to discriminate MP3 covers and the steganograms generated by
    using MP3Stego.