LBP feature and hash function based dual watermarking algorithm for database

Abstract

In this paper, we propose a local binary pattern (LBP) feature and hash function based dual watermarking algorithm for database. Attribute feature columns are selected to generate zero watermarks using the Pearson correlation method. The zero watermarks are generated by the LBP. The attribute values of the selected feature columns are divided into two parts for embedding and extracting the watermark. Zero watermark feature code is embedded into the lowest significant bit of the selected attribute column by using the database watermarking algorithm with hash function for copyright authentication. The proposed method uses two-layer hashing method to improve the robustness. In the watermark extraction, a method of combining majority voting and Hamming error correction code is used to control the watermark error to ensure the correct extraction rate of the watermark. Experimental results show that the algorithm not only provides good availability of the database after embedding the watermark, but also ensures the correct extraction of the watermark after various attacks.