Abstract
MP3 audio is one of the most popular audio formats, and it is easy to be tampered. By revealing the historical traces of the audio compression, it could be speculated effectively whether the suspicious MP3 audio has been tampered or not. Scale factor is an important parameter in MP3 encoding. In this paper, the variation law of the scale factor with various times of the compression is discovered by analyzing its statistical properties. The proposed method can be applied to detect multiple compression operations when the bit rates of the second and third compression are the same. The experimental results show that the proposed approach has good performance and higher accuracy with respect to the state-of-art.
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References
Pasquini, C., Boato, G., et al.: Multiple JPEG compression detection by means of Benford-Fourier coefficients. In: IEEE International Workshop on Information Forensics and Security (WIFS), pp. 113–118, Atlanta, USA (2014)
Milani, S., Tagliasacchi, M., Tubaro, S.: Discriminating multiple JPEG compression using first digit features. In: IEEE International Conference on Acoustics, Speech, and Signal Processing, pp. 2253–2256, Kyoto, Japan (2012)
Milani, S., Bestagini, P., Tagliasacchi, M., Tubaro, S.: Multiple compression detection for video sequences. In: IEEE International Conference on Multimedia Signal Processing (MMSP), pp. 112–117, Banff, England (2012)
Chu, X., Chen, Y., Stamm, M.C., Liu, K.J.R.: Information theoretical limit of compression forensics. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2689–2693, Florence, Italy (2014)
D’Alessandro, B., Shi, Y.Q.: MP3 bit rate quality detection through frequency spectrum analysis. In: Proceedings of the 11th ACM Workshop on Multimedia and Security, pp. 57–61, New York, USA (2009)
Liu, Q.Z., Sung, A.H., Qiao, M.Y.: Detection of double MP3 compression. Cogn. Comput. 2(4), 291–296 (2010)
Qiao, M.Y., Sung, A.H., Liu, Q.Z.: Improved detection of MP3 double compression using content-independent features. In: Signal Processing, Communication and Computing (ICSPCC), pp. 1–4, Kun Ming, China (2013)
Bianchi, T., De Rosa, A., et al.: Detection and classification of double compressed MP3 audio tracks. In: Proceedings of the First ACM Workshop on Information Hiding and Multimedia Security, pp. 159–164, New York, USA (2013)
Bianchi, T., De Rosa, A., et al.: Detection and localization of double compression in MP3 audio tracks. EURASIP J. Inf. Secur. 10 (2014). http://jis.eurasipjournals.com/content/2014/1/10
Ma, P., Wang, R., Yan, D., Jin, C.: A Huffman table index based approach to detect double MP3 compression. In: Shi, Y.Q., Kim, H.-J., Pérez-González, F. (eds.) IWDW 2013. LNCS, vol. 8389, pp. 258–272. Springer, Heidelberg (2014)
Ma, P.F., Wang, R.D., Yan, D.Q., Jin, C.: Detecting double compression MP3 with the same bit-rate. J. Softw. 9(10), 2522–2527 (2014)
Information technology - coding of moving pictures and associated audio for digital storage media up to about 1.5 mbit/s – part 3: audio. ISO/IEC International Standard IS 11172-3 (1993)
Gao, Z.H., Wei, G.: The core of technology of the broadband MP3 audio compression. Electroacoust. Technol. 9(5), 9–13 (2000)
Lame MP3 Encoder. http://lame.sf.net
Chang, C.C., Lin, C.J.: LIBSVM: a library for support vector machines. ACM Trans. Intell. Syst. Technol. (TIST) 2(3), 27 (2011)
Acknowledgements
This work is supported by the National Natural Science Foundation of China (Grant No. 61170137, 61300055, 61301247), Public Welfare Technology Application Research Project of Zhejiang Province (2015C33237), Zhejiang Provincial Natural Science Foundation of China (LY13F020013, LZ15F020002), Ningbo Natural Science Foundation (Grant No. 2013A610057), Ningbo University Fund (Grant No. XKXL1405, XKXL1420, XKXL1503), K.C. Wong Magna Fund in Ningbo University, and Chinese Government Scholarship (Grant No. 201508330278).
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Zhou, J., Wang, R., Jin, C., Yan, D. (2016). Multiple MP3 Compression Detection Based on the Statistical Properties of Scale Factors. In: Shi, YQ., Kim, H., Pérez-González, F., Echizen, I. (eds) Digital-Forensics and Watermarking. IWDW 2015. Lecture Notes in Computer Science(), vol 9569. Springer, Cham. https://doi.org/10.1007/978-3-319-31960-5_5
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DOI: https://doi.org/10.1007/978-3-319-31960-5_5
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