Steganalysis of MP3Stego
Authors:
- 1 June 2009
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- No. 21614393,p. 2566-2571
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-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.Keywords
This publication has 16 references indexed in Scilit:
- JPEG image steganalysis utilizing both intrablock and interblock correlations2008
- Feature mining and pattern classification for steganalysis of LSB matching steganography in grayscale imagesPattern Recognition, 2008
- Image complexity and feature mining for steganalysis of least significant bit matching steganographyInformation Sciences, 2008
- A Markov Process Based Approach to Effective Attacking JPEG Steganography2007
- Pros and Cons of Mel-cepstrum Based Audio Steganalysis Using SVM Classification2007
- Audio steganalysis based on “negative resonance phenomenon” caused by steganographic toolsJournal of Zhejiang University-SCIENCE A, 2006
- Detection of audio covert channels using statistical footprints of hidden messagesDigital Signal Processing, 2005
- Steganalysis of recorded speech2005
- Steganalysis of additive-noise modelable information hiding2003
- On the limits of steganographyIEEE Journal on Selected Areas in Communications, 1998