Abstract
MP3Stego is a typical steganographic tool for MP3 audio. Once the cover audio is unavailable, it is hard to distinguish between background noise and steganographic distortion. In this work, the MP3Stego algorithm has been analyzed from a warden’s perspective. It is observed that the number of bits in the bit reservoir will be disturbed when the secret message is embedded. In addition, a reliable estimation of cover audio is obtained by the proposed recompression calibration. The calibrated features are classified with support vector machine technique. Experimental results show that the proposed scheme is effective and gets good performance, especially when the embedding rate is not less than 0.01 %. The results also shows that the proposed scheme can achieve lower false positive rate comparing to the existing algorithms.
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References
Achmad Z (2002) Stego-Lame, http://sourceforge.net/projects/mp3stegz
Avcibas I (2006) Audio steganalysis with content-independent distortion measures. IEEE Signal Process Lett 13(2):92–95
Bohme R, Westfeld A (2004) Statistical characterisation of MP3 encoders for steganalysis. Proceedings of ACM Workshop on Multimedia and Security, ACM, New York, USA, p 25–34
Cha SH (2007) Comprehensive survey on distance/similarity measures between probability density functions. Int J Math Models Methods Appl Sci 1(4):300–307
Chang CC, Lin CJ (2001) LIBSVM: A library for support vector machines. http://www.csie.ntu.edu.tw/~cjlin/libsvm
Dittmann J, Hesse D (2004) Network based intrusion detection to detect steganographic communication channels: on the example of audio data. Proceedings of IEEE International Workshop on Multimedia Signal Processing, IEEE, Siena, Italy, p 343–346
Dumitrescu S, Wu X, Wang Z (2003) Detection of LSB steganography via sample pair analysis. IEEE Trans Signal Process 51(7):1995–2007
Fridrich J (2004) Feature-based steganalysis for JPEG images and its implications for future design of steganographic schemes. Proceedings of International Conference on Information Hiding, Vol. 3200, Springer, Berlin, LNCS, p 67–81
ISO/IEC 11172–3 (1993) Information technology—coding of moving pictures and associated audio for digital storage media at up to about 1.5 M bit/s—part3: audio
Ker AD (2005) Steganalysis of LSB matching in grayscale images. IEEE Signal Process Lett 12(6):441–444
Ker AD, Bohme R (2008) Revisiting weighted stego-image steganalysis. Proceedings of SPIE on Security, Forensics, Steganography, and Watermarking of Multimedia Contents X, SPIE, Vol. 6819, p 5–17
Kraetzer C, Dittman J (2007) Pros and cons of mel-cepstrum based audio steganalysis using SVM classification. Proceedings of International Conference on Information Hiding, Vol. 4567, Springer, LNCS, p 359–377
Malik H (2008) Steganalysis of qim steganography using irregularity measure. Proceedings of ACM Workshop on Multimedia and Security, ACM, New York, USA, p 149–158
Ozer H, Sankur B, Memon N, Avcibas I (2006) Detection of audio covert channels using statistical footprints of hidden messages. Digit Signal Process 16(4):389–401
Petitcolas FAP (2002) MP3Stego. http://www.cl.cam.ac.uk/~fapp2/steganography/mp3stego
Platt C (2004) UnderMP3Cover. http://sourceforge.net/projects/ump3c
Provos N, Honeyman P (2003) Hide and seek: an introduction to steganography. IEEE Secur Priv 1(3):32–44
Qiao M, Sung A, Liu Q (2009) Steganalysis of MP3Stego. Proceedings of International Joint Conference on Neural Networks, IEEE, New Jersey, USA, p 2566–2571
Qiao M, Sung A, Liu Q (2009) Feature mining and intelligent computing for MP3 steganalysis. Proceedings of International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing, IEEE, Washington, DC, USA, p 627–630
Westfeld A (2003) Detecting low embedding rates. Proceedings of International Conference on Information Hiding, Vol. 2578, Springer, LNCS, p 324–339
Yan D, Wang R (2011) Huffman table swapping-based steganography for MP3 audio. Multimedia Tools Appl 52(2–3):291–305
Yan D, Wang R, Zhang L (2009) Quantization step parity-based steganography for MP3 audio. Fundam Inform 97(1–2):1–14
Acknowledgment
This work was supported by the National Natural Science Foundation of China (Grant No. 6117037), Doctoral Fund of Ministry of Education of China (Grant No. 20103305110002), Ningbo University Fund (Grant No. XK1087, XYL10002), Zhejiang Scientific and Technical Key Innovation Team of New Generation Mobile Internet Client Software (Grant No. 2010R50009), Scientific Research Fund of Zhejiang Provincial Education Department (Grant No. Y201119434) and K.C. Wong Magna Fund in Ningbo University.
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Yan, D., Wang, R. Detection of MP3Stego exploiting recompression calibration-based feature. Multimed Tools Appl 72, 865–878 (2014). https://doi.org/10.1007/s11042-013-1406-z
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DOI: https://doi.org/10.1007/s11042-013-1406-z