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Collusion Attack Resistant SVD based Secured Audio Watermarking Scheme with Chaotic Encryption

机译:串通攻击基于混沌加密的基于SVD的SVD安全音频水印方案

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In this paper, a blind, robust, and inaudible audio watermarking algorithm based on Singular Value Decomposition (SVD) is proposed. The algorithm produce multiple copies with different fingerprints/ watermarks on the same audio using different SVD values making it robust to collusion attack. The proposed algorithm uses modified mean value and quantization index modulation technique of the singular values for watermark embedding. Instead of using the SVD matrix or the SVD matrix in cascade with the other transform directly for watermark embedding, the proposed schemes uses Baker's Chaotic mapping for encryption of the matrix without the cost of imperceptibility. The proposed method thus produces security as well as collusion attack resistance over all the SVD based methods where the location for the watermark embedding is known as the diagonal elements of the SVD matrix produced from the audio directly. Experimental results presented in this paper demonstrate the effectiveness of the proposed algorithm against signal processing attacks with good imperceptibility.
机译:在本文中,提出了一种基于奇异值分解(SVD)的盲,鲁棒和听不清音频水印算法。该算法使用不同的SVD值在相同的音频上产生多个具有不同指纹/水印的副本,使其变得稳健。该算法使用修改平均值和量化指数调制技术来进行水印嵌入的奇异值。而不是直接使用Cascade中的SVD矩阵或SVD矩阵,而是直接与其他变换用于水印嵌入,所提出的方案使用Baker的混沌映射来加密矩阵而不具有难以察觉的成本。因此,所提出的方法产生安全性以及对所有SVD基于SVD的方法产生的串行攻击阻力,其中被称为从音频直接产生的SVD矩阵的对角线元件。本文提出的实验结果证明了所提出的算法对信号处理攻击的有效性,具有良好的难以察觉。

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