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

This paper presents an audio aggregation zero-watermark 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.