Audio aggregation zero-watermark algorithm based on (k,n/k=n)

Abstract

This paper presents an audio aggregation zerowatermark algorithm based on (k, n/k=n), which using the nature of fragile watermark to realize audio aggregation certification. Firstly, using lifting wavelet transform (LWT) technique to each audio work in the aggregation which includes n audio works. Secondly, watermark was distributed into n shares by (k, n) threshold scheme. Finally, we can get n copies of key when the n shares are conducted bitwise XOR with the high-frequency coefficients of each audio work in the aggregation, then encrypting on them to form the final key. Simultaneously, realize zero-watermark embedding. In the watermark distributed process, in order to obtain better vulnerability, k is set as n. Simulation shows that the proposed algorithm has low computational complexity, high security, strong vulnerability, and good imperceptibility.

A Robust Zero-Watermarking Scheme for Digital Audio

“…A blind zero-watermarking algorithm, based on the Discrete Wavelet Transform (DWT), has been used to construct secrete keys [3]. [4] used the Lifting Wavelet Transform (LWT) technique on audio aggregation zero-watermark. DWT and Discrete Cosine Transformation (DCT) have been combined to generate the watermarking sequences [5]- [7] employed an audio zero-watermarking algorithm that combined DCT and Zernike moments.…”