A Novel Blind Reversible Method for Watermarking Relational Databases

Abstract

Digital Watermarking technology was introduced in the past few years, not only to ensure the ownership of the digital media, but also to ensure the integrity of those digital media. Reversible watermark (which is also called invertible watermark, or erasable watermark) enables to recover back the original data after the content have been authenticated. Such reversibility is highly desired in some sensitive database applications, e.g. in military and medical data. Permanent distortion is one of the main drawbacks of the entire irreversible relational database watermarking schemes. In this paper, we introduce a novel blind reversible watermarking method that ensures ownership protection in the field of Relational Database watermarking. In the proposed method, we utilize a reversible data-embedding technique called prediction-error expansion on integers to achieve reversibility. The experimental result shows that the blindness and robustness of this approach can defend against several kinds of database attacks.