Abstract
A fragile audio watermarking scheme for content authentication was proposed in the paper. First, two proper positive integers are chosen. Then, the audio signal is segmented. Two moving averages are computed according to the chosen integers in each segment. The watermark information obtained from audio segment is embedded at crosses of the two moving averages. The watermark can be blindly extracted without original signal when authentication is needed. Subjective and object tests show that the fragile watermarking scheme is inaudible and sensitive\e against MP3 compression, additive noise, re-sampling, re-quantization, low-pass filtering, etc. Especially, it can detect and localize the tampered regions effectively.
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Acknowledgments
The authors would like to thank the reviewers for their detailed reviews and constructive comments, which have helped improve the quality of this paper. This work was supported in part by the National Key Research and Development Project of China (No. 2017YFB0802302), the Science and Technology Support Project of Sichuan Province (No. 2016FZ0112, No. 2017GZ0314, No. 2018GZ0204), the Academic and Technical Leaders Training Funding Support Projects of Sichuan Province (No. 2016120080102643), the Application Foundation Project of Sichuan Province (No. 2017JY0168), the Science and Technology Project of Chengdu (No. 2017-RK00-00103-ZF, No. 2016-HM01-00217-SF).
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Peng, X., Zhang, J., Zhang, S. (2020). A Fragile Watermarking Algorithm Based on Audio Content and Its Moving Average. In: Sun, X., Wang, J., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2020. Lecture Notes in Computer Science(), vol 12240. Springer, Cham. https://doi.org/10.1007/978-3-030-57881-7_30
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DOI: https://doi.org/10.1007/978-3-030-57881-7_30
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