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

被引：8

作者：

Tang Xin ^{[1
]}

Ma Zhaofeng ^{[1
,2
]}

Niu Xinxin ^{[1
]}

Yang Yixian ^{[1
]}

机构：

[1] Beijing Univ Posts & Telecommun, Informat Secur Ctr, Beijing 100876, Peoples R China

[2] Beijing Natl Secur Sci & Technol Co Ltd, Beijing 100876, Peoples R China

来源：

CHINESE JOURNAL OF ELECTRONICS | 2015年 / 24卷 / 03期

基金：

中国国家自然科学基金;

关键词：

Compressive sensing; Semi-fragile; Zero-watermarking; Tamper detection; SCHEME; ROBUST;

D O I：

10.1049/cje.2015.07.009

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：492 / 497

页数：6

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