A Generalized Spread Spectrum-Based Audio Watermarking Method with Adaptive Synchronization

Document Type : Research Article

Authors

1 Department of Computer Engineering, Faculty of Engineering, Bozorgmehr University of Qaenat, Qaen, Iran.

2 Department of Computer Science, Birjand University of Technology, Birjand, Iran.

3 Department of Computer Engineering, Birjand Branch, Islamic Azad University, Birjand, Iran.

Abstract

In this paper, a new audio watermarking scheme is proposed that addresses the synchronization problem using an adaptive filter. To spread the watermark energy across the spectrum of the host audio signal, the scheme uses Hamming coding, convolutional encoding, and generalized PN sequence generation and for watermark recovery, the scheme utilizes Viterbi decoding. Also, the watermark cannot be detected either statistically or perceptually. To increase the watermark embedding capacity, the watermark is embedded in certain areas of the host signal, which increases the masking threshold. By using a high masking threshold, the adaptive watermark insertion, blind detection, robustness, and capacity of watermarking are enhanced in comparison to similar methods. Finally, experimental results show that in addition to guaranteeing an error bit rate (BER) of almost 0 for non- and minor-attack conditions, the BER is substantially improved in the case of low-pass filtering at a cutoff frequency as low as 3.2 KHz.

Keywords

Main Subjects


[1] R. A Garcia. Digital watermarking of audio signals using a psychoacoustic auditory model and spread spectrum theory. Audio Engineering Society Convention 107. 1999.
[2] R. Jain and M.C. Trivedi and S. Tiwari. Digital audio watermarking: A survey. Advances in Computer and Computational Sciences: Proceedings of ICCCCS 2016, Volume 2. 433--443, 2018. [DOI ]
[3] S. Xiang and L. Yang and Y. Wang. Robust and reversible audio watermarking by modifying statistical features in time domain. Advances in Multimedia. 2017: Hindawi. 2017. [DOI ]
[4] W.-N. Lie and L.-C. Chang. Robust and high-quality time-domain audio watermarking based on low-frequency amplitude modification. IEEE transactions on multimedia. 8(1): 46--59, IEEE. 2006. [DOI ]
[5] S. Wu and A. Qu and D. Huang. Efficiently self-synchronized audio watermarking for assured audio data transmission. IEEE Transactions on Broadcasting. 51(1): 69--76, IEEE. 2005. [DOI ]
[6] M. Bellaaj and K. Ouni. Audio watermarking technique in frequency domain: comparative study {MDCT} Vs {DCT}. Multimedia Tools and Applications. 79(37-38): 27161--27184, Springer. 2020. [DOI ]
[7] F. Fattahpour and K. Yaghmaie. Application of Spread Spectrum in Audio Watermarking Using Generalized Pseudo-Noise Sequence. The 6th international conference of the Iranian cryptography association. Isfahan University. 2009.
[8] Q. Wu and A. Qu and D. Huang. Robust and blind audio watermarking algorithm in dual domain for overcoming synchronization attacks. Mathematical Problems in Engineering. 2020: 1--15, Hindawi Limited. 2020. [DOI ]
[9] X.-Y. Wang and P.-P. Niu and H.-Y. Yang. A robust, digital-audio watermarking method. IEEE MultiMedia. 16(03): 60--69, IEEE Computer Society. 2009. [DOI ]
[10] Q. Wu and M. Wu. Adaptive and blind audio watermarking algorithm based on chaotic encryption in hybrid domain. Symmetry. 10(7): 284, MDPI. 2018. [DOI ]
[11] T.K. Araghi and A. Abd Manaf. An enhanced hybrid image watermarking scheme for security of medical and non-medical images based on DWT and {2-D} {SVD}. Future Generation Computer Systems. 101: 1223--1246, Elsevier. 2019.
[12] A. Rezaei and M. Khalili. A robust blind audio watermarking scheme based on {DCT-DWT-SVD}. Fundamental Research in Electrical Engineering: The Selected Papers of The First International Conference on Fundamental Research in Electrical Engineering. 101--113, 2019. [DOI ]
[13] M. Simon and J. Omura and R. Scholtz and B. Levitt. Spread spectrum communications handbook. McGraw-Hill Education. 2002.
[14] W. Jiang and X. Huang and Y. Quan. Audio watermarking algorithm against synchronization attacks using global characteristics and adaptive frame division. Signal Processing. 162: 153--160, Elsevier. 2019. [DOI ]
[15] A. McGill. Algorithms for audio watermarking and steganography. Leading Edge, March. 2: 2006.
[16] S. Katzenbeisser and F. Petitcolas. Information hiding. Artech house. 2016.
[17] S. Shokri and M. Ismail and N. Zainal and A. Shokri. {BER} performance of audio watermarking using spread Spectrum technique. Procedia Technology. 11: 107--113, Elsevier. 2013. [DOI ]
[18] H.S. Malvarand and D. Florencio. Improved spread spectrum: A new modulation technique for robust watermarking. IEEE transactions on signal processing. 51(4): 898--905, IEEE. 2003. [DOI ]
[19] X. Zhang and Z.J. Wang. Correlation-and-bit-aware multiplicative spread spectrum embedding for data hiding. 2013 IEEE International Workshop on Information Forensics and Security (WIFS). 186--190, 2013. [DOI ]
[20] Y. Xiang and I. Natgunanathan and Y. Rong and S. Guo. Spread spectrum-based high embedding capacity watermarking method for audio signals. IEEE/ACM transactions on audio, speech and language processing. 23(12): 2228--2237, IEEE. 2015. [DOI ]
[21] R. Li and S. Xu and H. Yang. Spread spectrum audio watermarking based on perceptual characteristic aware extraction. IET Signal Processing. 10(3): 266--273, Wiley Online Library. 2016. [DOI ]
[22] Z. Xu and C. Ao and B. Huang. Channel capacity analysis of the multiple orthogonal sequence spread spectrum watermarking in audio signals. IEEE Signal Processing Letters. 23(1): 20--24, IEEE. 2015. [DOI ]
[23] Y. Xue and K. Mu and Y. Li and J. Wen and P. Zhong and S. Niu. Improved high capacity spread spectrum-based audio watermarking by Hadamard matrices. Digital Forensics and Watermarking: 17th International Workshop, IWDW 2018, Jeju Island, Korea, October 22-24, 2018, Proceedings 17. 124--136, 2019. [DOI ]
[24] R.N. Alief and J.M. Lee and D.S. Kim. Optimizing Multibit Spread Spectrum Audio Watermarking for {I}nternet of Things. 2021 International Conference on Information and Communication Technology Convergence (ICTC). 818--822, 2021. [DOI ]
[25] A.A. Attari and A.A. Shirazi. Robust and transparent audio watermarking based on spread spectrum in wavelet domain. 2019 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT). 366--370, 2019. [DOI ]
[26] Z. Su and G. Zhang and F. Yue and L. Chang and J. Jiang and X. Yao. {SNR}-constrained heuristics for optimizing the scaling parameter of robust audio watermarking. IEEE Transactions on Multimedia. 20(10): 2631--2644, IEEE. 2018. [DOI ]
[27] S. Zhaopin and Z. Guofu and Z. Xianxian and L. Wangwang. Segment-Adaptive Spread Spectrum Audio Watermarking Using {NSGA-II}. Chinese Journal of Electronics. 30(4): 727--735, Wiley Online Library. 2021. [DOI ]
[28] H.T. Hu and T.-T. Lee. High-performance self-synchronous blind audio watermarking in a unified {FFT} framework. IEEE Access. 7: 19063--19076, IEEE. 2019. [DOI ]
[29] E. Tavakoli and B. Vosoughi and M.B. Shamsollahi and R. Sameni. Audio watermarking for covert communication through telephone system. 2006 IEEE international symposium on Signal Processing and Information Technology. 955--959, 2006. [DOI ]
[30] A. J Viterbi. Wireless digital communication: A view based on three lessons learned. IEEE communications magazine. 29(9): 33--36, IEEE. 1991. [DOI ]
[31] M. Venn. Convolutional coded generalized direct sequence spread spectrum. 2008.
[32] X. He and M. S Scordilis. Improved spread spectrum digital audio watermarking based on a modified perceptual entropy psychoacoustic model. Proceedings. IEEE SoutheastCon, 2005.. 283--286, 2005. [DOI ]
[33] X. Zhao and Y. Guo and J. Liu and Y. Yan. Quantization index modulation audio watermarking system using a psychoacoustic model. 2011 8th International Conference on Information, Communications \& Signal Processing. 1--4, 2011. [DOI ]
[34] Y. Lin and W. H Abdulla and Y. Lin and W. H Abdulla. Principles of psychoacoustics. Audio Watermark: A Comprehensive Foundation Using MATLAB. 15--49, Springer. 2015. [DOI ]
[35] J. Karnjana and M. Unoki and P. Aimmanee and C. Wutiwiwatchai and others. Audio watermarking scheme based on singular spectrum analysis and psychoacoustic model with self-synchronization. Journal of Electrical and Computer Engineering. 2016: Hindawi. 2016. [DOI ]
[36] E. Rajaby and S.M. Sayedi. A structured review of sparse fast Fourier transform algorithms. Digital Signal Processing. 123: 103403, Elsevier. 2022. [DOI ]
[37] S.-S. Kuo and J. D Johnston and W. Turin and S. R Quackenbush. Covert audio watermarking using perceptually tuned signal independent multiband phase modulation. 2002 IEEE International Conference on Acoustics, Speech and Signal Processing. 2: II--1753, 2002. [DOI ]
[38] X. Tang and Z. Ma and X. Niu and Y. Yang. Robust audio watermarking algorithm based on empirical mode decomposition. Chinese Journal of Electronics. 25(6): 1005--1010, Wiley Online Library. 2016. [DOI ]