JISE


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Journal of Information Science and Engineering, Vol. 26 No. 5, pp. 1787-1799


Blind Steganalysis of Mp3stego


JULIO C. HERNANDEZ-CASTRO1, JUAN E. TAPIADOR2, ESTHER PALOMAR3 AND ANGEL ROMERO-GONZALEZ4
1School of Computing 
University of Portsmouth 
Hampshire, PO1 2UP UK 
E-mail: Julio.Hernandez-Castro@port.ac.uk 
2Department of Computer Science 
University of York 
York, YO10 5DD UK 
E-mail: jet@cs.york.ac.uk 
3Department of Computer Science 
Carlos III University of Madrid 
Leganes, 28911 Spain 
E-mail: epalomar@inf.uc3m.es 
4Enusa Industrias Avanzadas 
Madrid, 28040 Spain 
E-mail: ang@enusa.es


    In this paper we present a steganalytic attack against mp3stego, a publicly available open-source steganographic tool which uses mp3 audio files as the stego medium to embed hidden information. We first identify through extensive statistical experimentation which parameters of the medium suffer a significant deviation from normality, then we construct a very efficient blind steganalytic algorithm based on their use. We finally present the results obtained with this steganalytic approach over various sets of mp3 files, and an algorithm for the estimation of the amount of hidden data.


Keywords: steganalysis, mp3, audio, mp3stego, steganography

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