Abstract
Copyright infringement is a serious problem in the digital media industry. The traditional watermarking methods can neither protect copyright against attacks, especially the de-synchronization attacks, nor achieve cross-platform copyright protection. The existing blockchain-based methods have the potential to protect copyright across multiple online platforms. However, they are vulnerable to attacks. In this paper, we propose a novel Ethereum blockchain-based robust copyright protection system (RobustCPS) for audio signals, which can not only resist attacks but also achieve cross-platform copyright protection. In the proposed RobustCPS, the host audio signal is first segmented into blocks. Then the singular value decomposition (SVD) is performed on each block to generate the content-based fingerprint. After that, a database query is executed to search whether a similar fingerprint has existed in the Ethereum blockchain. If so, the rightsholders will be informed that their copyright might have been violated. Otherwise, the generated fingerprint will be stored in the Ethereum blockchain for future copyright protection actions. Simulation results demonstrate the superiority of the proposed RobustCPS.
This work was supported in part by the Australian Research Council under grant LP170100458.
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References
IFPI Digital music report (2015). https://www.riaa.com/wp-content/uploads/2015/09/Digital-Music-Report-2015.pdf. Accessed 11 May 2020
‘Game of Thrones’ season 7 was pirated more than 1 billion times. https://www.businessinsider.com.au/game-of-thrones-season-7-pirated-1-billion-times-torrents-streaming-muso-2017-9. Accessed 11 May 2020
Kabir, E., Mahmood, A., Wang, H., Mustafa, A.: Microaggregation sorting framework for k-anonymity statistical disclosure control in cloud computing. IEEE Trans. Cloud Comput. 8(2), 408–417 (2015)
Zong, T., Xiang, Y., Guo, S., Rong, Y.: Rank-based image watermarking method with high embedding capacity and robustness. IEEE Access 4, 1689–1699 (2016)
Zong, T., Xiang, Y., Elbadry, S., Nahavandi, S.: Modified moment-based image watermarking method robust to cropping attack. Int. J. Autom. Comput. 13(3), 259–267 (2016). https://doi.org/10.1007/s11633-015-0926-6
Zong, T., Xiang, Y., Natgunanathan, I., Guo, S., Zhou, W., Beliakov, G.: Robust histogram shape-based method for image watermarking. IEEE Trans. Circuits Syst. Video Technol. 25(5), 717–729 (2014)
Asikuzzaman, M., Alam, M.-J., Lambert, A.-J., Pickering, M.-R.: Robust DT CWT-based DIBR 3D video watermarking using chrominance embedding. IEEE Trans. Multimedia 18(9), 1733–1748 (2016)
Joshi, A.M., Gupta, S., Girdhar, M., Agarwal, P., Sarker, R.: Combined DWT–DCT-based video watermarking algorithm using arnold transform technique. In: Satapathy, S.C., Bhateja, V., Joshi, A. (eds.) Proceedings of the International Conference on Data Engineering and Communication Technology. AISC, vol. 468, pp. 455–463. Springer, Singapore (2017). https://doi.org/10.1007/978-981-10-1675-2_45
Mareen, H., Praeter, J.-D., Wallendael, G.-V., Lambert, P.: A novel video watermarking approach based on implicit distortions. IEEE Trans. Consum. Electron. 64(3), 250–258 (2018)
Xiang, Y., Peng, D., Natgunanathan, I., Zhou, W.: Effective pseudonoise sequence and decoding function for imperceptibility and robustness enhancement in time-spread echo-based audio watermarking. IEEE Trans. Multimedia 13(1), 2–13 (2010)
Xiang, Y., Natgunanathan, I., Peng, D., Zhou, W., Yu, S.: A dual-channel time-spread echo method for audio watermarking. IEEE Trans. Inf. Forensics Secur. 7(2), 383–392 (2011)
Natgunanathan, I., Xiang, Y., Hua, G., Beliakov, G., Yearwood, J.: Patchwork-based multilayer audio watermarking. IEEE/ACM Trans. Audio Speech Lang. Process. 25(11), 2176–2187 (2017)
Cox, I.J., Kilian, J., Leighton, F.T., Shamoon, T.: Secure spread spectrum watermarking for multimedia. IEEE Trans. Image Process. 6(12), 1673–1687 (1997)
Malvar, H.S., Florêncio, D.A.: Improved spread spectrum: a new modulation technique for robust watermarking. IEEE Trans. Signal Process. 51(4), 898–905 (2003)
Xiang, Y., Natgunanathan, I., Rong, Y., Guo, S.: Spread spectrum-based high embedding capacity watermarking method for audio signals. IEEE/ACM Trans. Audio Speech Lang. Process. 23(12), 2228–2237 (2015)
Xiang, Y., Natgunanathan, I., Peng, D., Hua, G., Liu, B.: Spread spectrum audio watermarking using multiple orthogonal PN sequences and variable embedding strengths and polarities. IEEE/ACM Trans. Audio Speech Lang. Process. 26(3), 529–539 (2017)
Wang, X., Qi, W., Niu, P.: A new adaptive digital audio watermarking based on support vector regression. IEEE Trans. Audio Speech Lang. Process. 15(8), 2270–2277 (2007)
Xiang, Y., Natgunanathan, I., Guo, S., Zhou, W., Nahavandi, S.: Patchwork-based audio watermarking method robust to de-synchronization attacks. IEEE/ACM Trans. Audio Speech Lang. Process. 22(9), 1413–1423 (2014)
Liu, Z., Huang, Y., Huang, J.: Patchwork-based audio watermarking robust against de-synchronization and recapturing attacks. IEEE Trans. Inf. Forensics Secur. 14(5), 1171–1180 (2018)
Ambili, K.N., Sindhu, M., Sethumadhavan, M.: On federated and proof of validation based consensus algorithms in blockchain. In: IOP Conference Series: Materials Science and Engineering, vol. 225, p. 012198. IOP Publishing, India (2017). https://doi.org/10.1088/1757-899x/225/1/012198
The blockchain phenomenon-the disruptive potential of distributed consensus architectures. https://www.etla.fi/wp-content/uploads/ETLA-Working-Papers-38.pdf. Accessed 11 May 2020
Bittunes homepage. http://bittunes.co.uk/. Accessed 11 May 2020
Mycelia for music. http://myceliaformusic.org/. Accessed 11 May 2020
Wu, J.L., Shin, J.: Discrete cosine transform in error control coding. IEEE Trans. Commun. 43(5), 1857–1861 (1995)
Thiede, T., et al.: PEAQ-the ITU standard for objective measurement of perceived audio quality. J. Audio Eng. Soc. 48(1), 3–29 (2000)
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Zhao, J., Zong, T., Xiang, Y., Gao, L., Beliakov, G. (2020). Robust Blockchain-Based Cross-Platform Audio Copyright Protection System Using Content-Based Fingerprint. In: Huang, Z., Beek, W., Wang, H., Zhou, R., Zhang, Y. (eds) Web Information Systems Engineering – WISE 2020. WISE 2020. Lecture Notes in Computer Science(), vol 12343. Springer, Cham. https://doi.org/10.1007/978-3-030-62008-0_14
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