A robust blind watermarking method for databases based on additive noise
Li Cheng，Zhang Guodong
Unit 96713 of the People′s Liberation Army
Abstract： A robust blind watermarking method for databases based on additive noise is proposed to address the issues of copyright infringement and privacy breaches in the process of big data sharing and publishing. This method integrates database watermarking with data desensitization techniques, leveraging the inherent distortion of additive Laplace noise. Watermark information is embedded through the ratio parity and noise modification mechanisms, significantly reducing secondary distortion. By adjusting statistical characteristics, the method preserves data usability. While enhancing privacy protection, it enables blind extraction of watermark information and demonstrates exceptional robustness. Experimental results show that this approach effectively reduces the risks of data leakage and unauthorized use, providing an integrated solution that simultaneously achieves sensitive data privacy protection, leakage tracing, and copyright marking.
Key words : database watermarking; data desensitization; data security; privacy protection
