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False-Positive-Free SVD Based Audio Watermarking with Integer Wavelet Transform

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Abstract

Singular Value Decomposition (SVD) became a promising approach for developing digital media watermarking techniques due to stability and higher energy packing nature of singular values. Nevertheless, SVD based watermarking techniques suffers from false positive problem (FPP) when singular vectors are shared for extraction. Eliminating FPP in the development of digital audio watermarking (DAW) is still a challenging task. In this work, SVD based schemes and their vulnerability to FPP are studied, analyzed, and elucidated in detail. Further, a false positive free SVD based DAW scheme has been devised in Integer Wavelet Transform (IWT) domain. Audio is partitioned into segments. Each audio segment is transformed using IWT and SVD is applied on Arnold transformed watermark. Principal Component (PC) is obtained with the product of singular vector matrix and singular values matrix. Transformed audio is modified based on PC of watermark image. The developed scheme has been tested on benchmark dataset and it maintains imperceptibility, robustness, and capacity as per standards. The developed scheme has achieved resilience against signal processing attacks. Consequently, this DAW scheme helps in forensic examination of audio recording for authentication purpose.

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References

  1. K.M. Abdelwahab, S.M.A. El-atty, W. El-Shafai, S. El-Rabaie, F.E.A. El-Samie, Efficient SVD-based audio watermarking technique in FRT domain. Multimedia Tools Appl. 79(9–10), 5617–5648 (2020). https://doi.org/10.1007/s11042-019-08023-z

    Article  Google Scholar 

  2. A. Al-Haj, An imperceptible and robust audio watermarking algorithm. EURASIP J. Audio Speech Music Process. 37(1), 1–12 (2014). https://doi.org/10.1186/s13636-014-0037-2

    Article  Google Scholar 

  3. W. Al-Nuaimy, M.A.M. El-Bendary, A. Shafik, F. Shawki, A.E. Abou-El-Azm, N.A. El-Fishawy, S.M. Elhalafawy, S.M. Diab, B.M. Sallam, F.E.A. El-Samie, H.B. Kazemian, An SVD audio watermarking approach using chaotic encrypted images. Digital Signal Process. 21(6), 764–779 (2011). https://doi.org/10.1016/j.dsp.2011.01.013

    Article  Google Scholar 

  4. A. Aljanaki, F. Wiering, R.C. Veltkamp, Studying emotion induced by music through a crowdsourcing game. Inf. Process. Manage. 52(1), 115–128 (2016). https://doi.org/10.1016/j.ipm.2015.03.004

    Article  Google Scholar 

  5. S. Bagheri, B. Ahmadi, G. Zhang, S. Wei, L. Boukela, An intelligent and blind image watermarking scheme based on hybrid SVD transforms using human visual system characteristics. Vis. Comput. 37, 385–409 (2021). https://doi.org/10.1007/s00371-020-01808-6

    Article  Google Scholar 

  6. V.K. Bhat, A.K. Das, J.H. Lee, Design of a blind quantization-based audio watermarking scheme using singular value decomposition. Concurr. Comput. 2, 1–11 (2019). https://doi.org/10.1002/cpe.5253

    Article  Google Scholar 

  7. M.A.M. El-bendary, A.A. El-azm, N. El-fishawy, F. Shawki, SVD Audio watermarking : a tool to enhance the security of image transmission over ZigBee networks. J. Telecommun. Inform. Technol. 4(4), 99–107 (2011)

    Google Scholar 

  8. A.R. Elshazly, M.E. Nasr, M.M. Fouad, F.S. Abdel-Samie, High payload multi-channel dual audio watermarking algorithm based on discrete wavelet transform and singular value decomposition. Int. J. Speech Technol. 20(4), 951–958 (2017). https://doi.org/10.1007/s10772-017-9462-9

    Article  Google Scholar 

  9. F.E.A. El-Samie, A. Shafik, H.S. El-sayed, S.M. Elhalafawy, S.M. Diab, B.M. Sallam, O.S. Faragallah, Sensitivity of automatic speaker identification to SVD digital audio watermarking. Int. J. Speech Technol. 18(4), 565–581 (2015). https://doi.org/10.1007/s10772-015-9292-6

    Article  Google Scholar 

  10. M. Farzaneh, R. M. Toroghi. Robust audio watermarking using graph-based transform and singular value decomposition. 10th International Symposium on Telecommunications, December, 1–6 (2020). Doi:https://doi.org/10.1109/ist50524.2020.9345876

  11. Free Music Archive. https://freemusicarchive.org/music. Accessed 12 February 2022.

  12. J. Guo, D. Riyono, H. Prasetyo, Hyperchaos permutation on false-positive-free SVD-based image watermarking. Multimedia Tools Appl. 78, 29229–29270 (2019). https://doi.org/10.1007/s11042-018-6767-x

    Article  Google Scholar 

  13. H. Hu, J. Chang, Efficient and robust frame-synchronized blind audio watermarking by featuring multilevel DWT and DCT. Clust. Comput. 20(1), 805–816 (2017). https://doi.org/10.1007/s10586-017-0770-2

    Article  Google Scholar 

  14. H.T. Hu, L.Y. Hsu, Robust, transparent and high-capacity audio watermarking in DCT domain. Signal Process. 109, 226–235 (2015). https://doi.org/10.1016/j.sigpro.2014.11.011

    Article  Google Scholar 

  15. H.T. Hu, L.Y. Hsu, A DWT-based rational dither modulation scheme for effective blind audio watermarking. Circuits Syst. Signal Process. 35(2), 553–572 (2016). https://doi.org/10.1007/s00034-015-0074-9

    Article  Google Scholar 

  16. H.T. Hu, T.T. Lee, High-Performance Self-Synchronous Blind Audio Watermarking in a Unified FFT Framework. IEEE Access 7, 19063–19076 (2019). https://doi.org/10.1109/ACCESS.2019.2893646

    Article  Google Scholar 

  17. H.T. Hu, T.T. Lee, Hybrid blind audio watermarking for proprietary protection, tamper proofing, and self-recovery. IEEE Access 7, 180395–180408 (2019). https://doi.org/10.1109/ACCESS.2019.2958095

    Article  Google Scholar 

  18. H.T. Hu, S.J. Lin, L.Y. Hsu, Effective blind speech watermarking via adaptive mean modulation and package synchronization in DWT domain. Eurasip J Audio Speech Music Process. 2017(1), 1–14 (2017). https://doi.org/10.1186/s13636-017-0106-4

    Article  Google Scholar 

  19. G. Hua, J. Huang, Y.Q. Shi, J. Goh, V.L.L. Thing, Twenty years of digital audio watermarking: a comprehensive review. Signal Process. 128, 222–242 (2016). https://doi.org/10.1016/j.sigpro.2016.04.005

    Article  Google Scholar 

  20. M.J. Hwang, J. Lee, M. Lee, H.G. Kang, SVD-based adaptive QIM watermarking on stereo audio signals. IEEE Trans. Multimedia 20(1), 45–54 (2018). https://doi.org/10.1109/TMM.2017.2721642

    Article  Google Scholar 

  21. M.S. Islam, N. Naqvi, A.T. Abbasi, M.I. Hossain, R. Ullah, R. Khan, M.S. Islam, Z. Ye, Robust dual domain twofold encrypted image - in - audio watermarking based on SVD. Circuits Syst. Signal Process. 40, 4651–4685 (2021). https://doi.org/10.1007/s00034-021-01690-0

    Article  Google Scholar 

  22. A. Kanhe, A. Gnanasekaran, Robust image-in-audio watermarking technique based on DCT-SVD transform. EURASIP J. Audio Speech Music Process. 2018(16), 1–12 (2018). https://doi.org/10.1186/s13636-018-0139-3

    Article  Google Scholar 

  23. H. Karajeh, M. Maqableh, An imperceptible, robust, and high payload capacity audio watermarking scheme based on the DCT transformation and Schur decomposition. Analog Integr. Circ. Sig. Process 99, 571–583 (2019). https://doi.org/10.1007/s10470-018-1332-0

    Article  Google Scholar 

  24. A. Kaur, M.K. Dutta, An optimized high payload audio watermarking algorithm based on LU-factorization. Multimedia Syst. 24(3), 341–353 (2018). https://doi.org/10.1007/s00530-017-0545-x

    Article  Google Scholar 

  25. A. Kaur, M.K. Dutta, High embedding capacity and robust audio watermarking for secure transmission using tamper detection. ETRI J. 40(1), 133–145 (2018). https://doi.org/10.4218/etrij.2017-0092

    Article  Google Scholar 

  26. N.V. Lalitha, C.S. Rao, P.V.Y. Jayasree, Localization of copy-move forgery in speech signals through watermarking using DCT-QIM. Int. J. Electron. Telecommun. 65(3), 527–532 (2019). https://doi.org/10.24425/ijet.2019.129809

    Article  Google Scholar 

  27. N.V. Lalitha, C.S. Rao, P.V.Y. Jayasree, Synchronized robust audio watermarking based on FWHT. IIOAB J. 7(11), 206–211 (2016)

    Google Scholar 

  28. N.V. Lalitha, G. Suresh, V. Sailaja, Improved Audio Watermarking Using DWT-SVD. Int. J. Sci. Eng. Res. 2(6), 1–7 (2011)

    Google Scholar 

  29. A. Lerch. Zplane development, EAQUAL-evaluate audio quality, version: 0.1.3alpha (2002). http://www.mp3-tech.org/programmer/misc.html. Accessed 04 February 2022.

  30. Z. Liu, Y. Huang, J. Huang, Patchwork-based audio watermarking robust against de-synchronization and recapturing. IEEE Trans. Inf. Forensics Secur. 14(5), 1–10 (2018). https://doi.org/10.1109/TIFS.2018.2871748

    Article  Google Scholar 

  31. N.M. Makbol, B.E. Khoo, T.H. Rassem, Security analyses of false positive problem for the SVD-based hybrid digital image watermarking techniques in the wavelet transform domain. Multimedia Tools Appl. 77, 26845–26879 (2018). https://doi.org/10.1007/s11042-018-5891-y

    Article  Google Scholar 

  32. K. Meenakshi, K. Swaraja, P. Kora, A hybrid matrix factorization technique to free the watermarking scheme from false positive and negative problems. Multimedia Tools Appl. 79, 29865–29900 (2020). https://doi.org/10.1007/s11042-020-09250-5

    Article  Google Scholar 

  33. N. Mehallegue, K. Loukhaoukha, K. Zebbiche, A. Refaey, M. Djellab, Ambiguity attacks on SVD audio watermarking approach using chaotic encrypted images. Multimedia Tools Appl. 79(3–4), 2031–2045 (2020). https://doi.org/10.1007/s11042-019-08271-z

    Article  Google Scholar 

  34. Music Audio Benchmark Dataset, provided by Technische Universitat Dortmund. https://www-ai.cs.tu-dortmund.de/audio.html. Accessed 28 January 2021

  35. V.L. Narla, S. Gulivindala, S.R. Chanamallu, D.P. Gangwar, BCH encoded robust and blind audio watermarking with tamper detection using hash. Multimedia Tools Appl. 80(21–23), 32925–32945 (2021). https://doi.org/10.1007/s11042-021-11370-5

    Article  Google Scholar 

  36. I. Nouioua, N. Amardjia, S. Belilita, A novel blind and robust video watermarking technique in fast motion frames based on SVD and MR-SVD. Secur. Commun. Netw. 2018, 1–17 (2018). https://doi.org/10.1155/2018/6712065

    Article  Google Scholar 

  37. J. Panda, K. Nath, S. Choudhary, S. Kumar, A non-blind multiple transform based audio watermarking based on highest entropy sub-bands. Int. J. Sci. Eng. Res. 7(10), 1899–1905 (2016)

    Google Scholar 

  38. R. Panda, R. Malheiro, R.P. Paiva, Novel audio features for music emotion recognition. IEEE Trans. Affect. Comput. 11(4), 614–626 (2020). https://doi.org/10.1109/TAFFC.2018.2820691

    Article  Google Scholar 

  39. S.M. Pourhashemi, M. Mosleh, Y. Erfani, Audio watermarking based on synergy between Lucas regular sequence and Fast Fourier Transform. Multimedia Tools Appl. 78(16), 22883–22908 (2019). https://doi.org/10.1007/s11042-019-7595-3

    Article  Google Scholar 

  40. E. Salah, K. Amine, K. Redouane, K. Fares, A Fourier transform based audio watermarking algorithm. Appl. Acoust. 172, 1–7 (2021)

    Article  Google Scholar 

  41. C. Shi, X. Li, H. Wang, A novel integrity authentication algorithm based on perceptual speech hash and learned dictionaries. IEEE Access 8, 22249–22265 (2020). https://doi.org/10.1109/ACCESS.2020.2970093

    Article  Google Scholar 

  42. G. Suresh, N. V. Lalitha, C. S. Rao, V. Sailaja. An efficient and simple audio watermarking using DCT-SVD. 2012 International Conference on Devices, Circuits and Systems, ICDCS 2012 (2012), pp. 177–181. Doi:https://doi.org/10.1109/ICDCSyst.2012.6188699

  43. Q. Wu, A. Qu, D. Huang, Robust and blind audio watermarking algorithm in dual domain for overcoming synchronization attacks. Math. Probl. Eng. 2020, 1–15 (2020). https://doi.org/10.1155/2020/2035747

    Article  Google Scholar 

  44. Q. Wu, M. Wu, A novel robust audio watermarking algorithm by modifying the average amplitude in transform domain. Appl. Sci. 8(723), 1–17 (2018). https://doi.org/10.3390/app8050723

    Article  Google Scholar 

  45. Y. Xiang, G. Hua, B. Yan. Digital audio watermarking fundamentals, techniques and challenges (W.-S. Gan, C.-C. J. Kuo, T. F. Zheng, & M. Barni (Eds.)). Springer Briefs in Electrical and Computer Engineering Signal Processing (2017).

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Suresh, G., Narla, V.L., Gangwar, D.P. et al. False-Positive-Free SVD Based Audio Watermarking with Integer Wavelet Transform. Circuits Syst Signal Process 41, 5108–5133 (2022). https://doi.org/10.1007/s00034-022-02023-5

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