Digital Watermarking Algorithm for Relational Database Based on Lifting Wavelet Transformation

This paper presents an algorithm based on lifting wavelet transformation for relational database blind watermarking, which is learned from multimedia digital watermark technology. By using identification programming, the algorithm identifies the candidate attributes which are screened by screening programming. With the condensation algorithm, the low-frequency part of the watermark is condensed and embedded into the high-frequency part of the subset data, so as to realize the mergence of watermarks and the carrier. By lifting wavelet transform, the calculation of the algorithm is simplified. This algorithm takes advantage of generalized Arnold transform and some parameters to guarantee security of watermark. Simulation results show that the proposed algorithm is robust and possesses good invisibility.