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Journal of Information Science and Engineering, Vol. 26 No. 5, pp. 1787-1799 (September 2010)

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

Full Text () Retrieve PDF document (201009_14.pdf)

Received April 9, 2008; revised August 1, 2008; accepted November 12, 2008.
Communicated by Tsan-sheng Hsu.