KSII Transactions on Internet and Information Systems (TIIS)

Korean Society for Internet Information (한국인터넷정보학회)
권호 표지
DOI QR코드

DOI QR Code

Compression history detection for MP3 audio

  • Yan, Diqun (College of Information Science and Engineering, Ningbo University) ;
  • Wang, Rangding (College of Information Science and Engineering, Ningbo University) ;
  • Zhou, Jinglei (College of Information Science and Engineering, Ningbo University) ;
  • Jin, Chao (College of Information Science and Engineering, Ningbo University) ;
  • Wang, Zhifeng (College of Information Science and Engineering, Ningbo University)
  • Received : 2017.06.10
  • Accepted : 2017.09.21
  • Published : 2018.02.28
Download PDF
⟨ Previous Next ⟩

Abstract

Compression history detection plays an important role in digital multimedia forensics. Most existing works, however, mainly focus on digital image and video. Additionally, the existed audio compression detection algorithms aim to detect the trace of double compression. In real forgery scenario, multiple compression is more likely to happen. In this paper, we proposed a detection algorithm to reveal the compression history for MP3 audio. The statistics of the scale factor and Huffman table index which are the parameters of MP3 codec have been extracted as the detecting features. The experimental results have shown that the proposed method can effectively identify whether the testing audio has been previously treated with single/double/triple compression.

Keywords

References

  1. R. Hong, M. Wang, M. Xu, T. S. Chua, "Dynamic captioning: video accessibility enhancement for hearing impairment," in Proc. of ACM International Conference on Multimedia, pp. 421-430, 2010.
  2. R. Hong, M. Wang, G. Li, L. Nie, Z. J. Zha, T. S. Chua, "Multimedia question answering," IEEE MultiMedia, vol. 19, no. 4, pp. 72-78, 2012. https://doi.org/10.1109/MMUL.2011.53
  3. Y. Chen, T. V. Nguyen, M. Kankanhalli, et al., "Audio maters in visual attention," IEEE Transactions on Circuits and Systems for Video Technology, vol. 24, no. 11, pp. 1992-2003, 2014. https://doi.org/10.1109/TCSVT.2014.2329380
  4. P. Cecilia, B. Giulia, P. Fernando, "Multiple JPEG compression detection by means of Benford-Fourier coefficients," in Proc. of IEEE International Workshop on Information Forensics and Security, pp. 113-118, 2014.
  5. S. Milani, P. Bestagini, M. Tagliasacchi, S. Tubaro, "Discriminating multiple jpeg compression using first digit features," in Proc. of IEEE International Conference on Acoustics, Speech, and Signal Processing, pp. 2253-2256, 2012.
  6. X. Chu, Y. Chen, M. C. Stamm, K. Liu, "Information theoretical limit of compression forensics," in Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 2689-2693, 2014.
  7. S. Milani, P. Bestagini, M. Tagliasacchi, S. Tubaro, "Multiple compression detection for video sequences," in Proc. of IEEE International Conference on Multimedia Signal Processing, pp. 112-117, 2012.
  8. B. D. Alessandro, Y. Q. Shi, "MP3 bit rate quality detection through frequency spectrum analysis," ACM Workshop on Multimedia and Security, pp. 57-62, 2009.
  9. Q. Liu, A. Sung, M. Qiao, "Detection of double MP3 compression," Cognitive Computation, vol. 2, no. 4, pp. 291-296, 2010. https://doi.org/10.1007/s12559-010-9045-4
  10. M. Qiao, A. Sung, Q. Liu, "Improved detection of MP3 double compression using content-independent features," in Proc. of IEEE International Conference on Signal Processing, Communication and Computing, pp. 1-4, 2013.
  11. R. Yang, Y. Q. Shi, J. Huang, "Detecting double compression of audio signal," in Proc. of SPIE Conference on Media Forensics and Security, pp. 1-10, 2010.
  12. T. Bianchi, A. D. Rosa, M. Fontani, G. Rocciolo, A. Piva, "Detection and classification of double compressed MP3 audio tracks," in Proc. of ACM Workshop on Information Hiding and Multimedia Security, pp. 159-164, 2013.
  13. T. Bianchi, A. D. Rosa, M. Fontani, G. Rocciolo, A. Piva, "Detection and localization of double compression in MP3 audio tracks," EURASIP Journal on Information Security, vol.7, no. 10, pp. 1-14, 2014.
  14. P. Ma, R. Wang, D. Yan, C. Jin, "A Huffman table index based approach to detect double MP3 compression," in Proc. of IEEE International Workshop on Digital-Forensics and Watermarking, pp. 258-271, 2013.
  15. 1 P. Ma, R. Wang, D. Yan, C. Jin, "Detecting Double compression MP3 with the same bit-rate," Journal of Software, vol. 9, no. 10, pp. 2522-2527, 2014.
  16. ISO/IEC International Standard IS 11172-3, "Information technology - coding of moving pictures and associated audio for digital storage media up to about 1.5 mbit/s - part 3: audio," 1993.
  17. C. Chang, C. Lin, "LIBSVM: a library for support vector machines," ACM Transactions on Intelligent Systems and Technology, vol. 2, no. 3, pp. 1-27, 2011.

Cited by

  1. AAC Double Compression Audio Detection Algorithm Based on the Difference of Scale Factor vol.9, pp.7, 2018, https://doi.org/10.3390/info9070161
  2. Cluster Flows and Multiagent Technology vol.9, pp.1, 2018, https://doi.org/10.3390/math9010022