Compressive Sensing-Based Audio Semi-fragile Zero-Watermarking Algorithm

TANG Xin; MA Zhaofeng; NIU Xinxin; YANG Yixian

doi:10.1049/cje.2015.07.009

Volume 24 Issue 3

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TANG Xin, MA Zhaofeng, NIU Xinxin, et al., “Compressive Sensing-Based Audio Semi-fragile Zero-Watermarking Algorithm,” Chinese Journal of Electronics, vol. 24, no. 3, pp. 492-497, 2015, doi: 10.1049/cje.2015.07.009

Citation:

TANG Xin, MA Zhaofeng, NIU Xinxin, et al., “Compressive Sensing-Based Audio Semi-fragile Zero-Watermarking Algorithm,” Chinese Journal of Electronics, vol. 24, no. 3, pp. 492-497, 2015, doi: 10.1049/cje.2015.07.009

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Compressive Sensing-Based Audio Semi-fragile Zero-Watermarking Algorithm

doi: 10.1049/cje.2015.07.009

1.
Information Security Center, Beijing University of Posts and Telecommunications, Beijing 100876, China;
2.
Beijing National Security Science and Technology Co. Ltd, Beijing 100876, China

Funds: This work is supported by the National Natural Science Foundation of China (No.61272519, No.61170271, No.61121061).

Received Date: 2014-05-08
Rev Recd Date: 2014-07-03
Publish Date: 2015-07-10

Abstract

Abstract

A novel compressive sensing-based audio semi-fragile zero-watermarking algorithm is proposed in this paper. This algorithm transforms the original audio signal into the wavelet domain and applies compressive sensing theory to the approximation wavelet coefficients. The zero-watermarking is constructed according to the positive and negative properties of elements in the measurement vector. The experimental results show that the proposed algorithm is robust against common audio signal processing and fragile to malicious tampering. Compared with the existing algorithms, the proposed algorithm improves malicious tampering detection accuracy in common audio signal processing environments.
- Compressive sensing,
- Semi-fragile,
- Zerowatermarking,
- Tamper detection

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References(14)

References

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