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Proceedings Paper

Mel-cepstrum based steganalysis for VoIP steganography
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Paper Abstract

Steganography and steganalysis in VoIP applications are important research topics as speech data is an appropriate cover to hide messages or comprehensive documents. In our paper we introduce a Mel-cepstrum based analysis known from speaker and speech recognition to perform a detection of embedded hidden messages. In particular we combine known and established audio steganalysis features with the features derived from Melcepstrum based analysis for an investigation on the improvement of the detection performance. Our main focus considers the application environment of VoIP-steganography scenarios. The evaluation of the enhanced feature space is performed for classical steganographic as well as for watermarking algorithms. With this strategy we show how general forensic approaches can detect information hiding techniques in the field of hidden communication as well as for DRM applications. For the later the detection of the presence of a potential watermark in a specific feature space can lead to new attacks or to a better design of the watermarking pattern. Following that the usefulness of Mel-cepstrum domain based features for detection is discussed in detail.

Paper Details

Date Published: 1 March 2007
PDF: 12 pages
Proc. SPIE 6505, Security, Steganography, and Watermarking of Multimedia Contents IX, 650505 (1 March 2007); doi: 10.1117/12.704040
Show Author Affiliations
Christian Kraetzer, Otto-von-Guericke-Univ. of Magdeburg (Germany)
Jana Dittmann, Otto-von-Guericke-Univ. of Magdeburg (Germany)


Published in SPIE Proceedings Vol. 6505:
Security, Steganography, and Watermarking of Multimedia Contents IX
Edward J. Delp; Ping Wah Wong, Editor(s)

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