A Robust and Adaptive Watermarking Technique for Relational Database

Abstract

A watermarking technology is a kind of marker covertly embedded to identify ownership of the copyright. The existing database watermarking techniques cannot automatically adapt to different types of data and have poor robustness. In this paper, we present a new robust database watermarking scheme. The scheme can automatically adapt the watermarking algorithm and parameters according to the data characteristics for numerical and text-based data. We have theoretically established and verified experimentally the performance of our method in terms of robustness and less data distortion. This makes it suitable for copyright protection, owner identification, or traitor tracing purposes.