Compressive Sensing-Based Audio Semi-fragile Zero-Watermarking Algorithm
Compressive Sensing-Based Audio Semi-fragile Zero-Watermarking Algorithm作者机构：Information Security Center Beijing University of Posts and Telecommunications Beijing National Security Science and Technology Co. Ltd
出 版 物：《Chinese Journal of Electronics》 (电子学报(英文))
年 卷 期：2015年第24卷第3期
页 面：492-497页
核心收录：
基 金：supported by the National Natural Science Foundation of China(No.61272519 No.61170271 No.61121061)
主 题：Compressive sensing Semi-fragile Zerowatermarking Tamper detection
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 *** 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.
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