School of Information Science and Engineering, Ningbo University

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Abstract—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 work, we present a steganalytic method to attack MP3Stego. The big_values inside information is considered to extract the steganalytic feature. Re-compression calibration has been applied in order to improve the feature's sensitivity. Experimental results show that the extracted feature can reflect the MP3Stego trace effectively.

Index Terms—Steganalysis, MP3, big_values, calibration.

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Cite: Xianmin Yu, Rangding Wang, Diqun Yan, "Detecting MP3Stego using Calibrated Side Information Features," Journal of Software vol. 8, no. 10, pp. 2628-2636, 2013.