中图分类号：TP309.2 文献标识码：ADOI:10.19358/j.issn.2097-1788.2025.02.005
引用格式：李程，张国栋. 基于加性噪声的强鲁棒数据库盲水印方法［J］.网络安全与数据治理，2025，44（2）：32-38,43.

A robust blind watermarking method for databases based on additive noise

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