IH '02 Revised Papers from the 5th International Workshop on Information Hiding
Feature Mining and Intelligent Computing for MP3 Steganalysis
IJCBS '09 Proceedings of the 2009 International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing
Temporal derivative-based spectrum and mel-cepstrum audio steganalysis
IEEE Transactions on Information Forensics and Security
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Pros and cons of mel-cepstrum based audio steganalysis using SVM classification
IH'07 Proceedings of the 9th international conference on Information hiding
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MP3Stego is a typical steganographic tool for MP3 audio, which embeds secret message into MP3 audio according to the parity of the block length. In this paper, a detection method for MP3Stego based on the differential statistics of quantization step is present. By analyzing the algorithm of MP3Stego, we find that the quantization step which is an important parameter of MP3 encoding is affected during embedding. The standard deviation of the second-order differential sequence from quantization step is adopted as the classification feature. Experimental results indicate that the proposed algorithm is effective in detecting MP3Stego and can achieve better detection performance than the existing algorithms.