Steganalysis of MP3Stego

Authors:
Mengyu Qiao;Andrew H. Sung;Qingzhong Liu
Affiliations:
Department of Computer Science of New Mexico Tech., Socorro, NM;Department of Computer Science and Institute for Complex Additive Systems Analysis of New Mexico Tech, Socorro, NM;Department of Computer Science and Institute for Complex Additive Systems Analysis of New Mexico Tech, Socorro, NM
Venue:
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Year:
2009

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Abstract

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-l 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.