2006 | OriginalPaper | Buchkapitel
An Improved Algorithm to Watermark Numeric Relational Data
verfasst von : Fei Guo, Jianmin Wang, Zhihao Zhang, Xiaojun Ye, Deyi Li
Erschienen in: Information Security Applications
Verlag: Springer Berlin Heidelberg
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This paper studies an improved algorithm to watermark numeric attributes in relational databases for copyright protection. It reviews related researches and presents an improved insertion algorithm, a detection algorithm and a recover algorithm. We introduce a varied-size grouping method in our insertion algorithm to insert a meaningful watermark. We also introduce a new mechanism to insert watermarks using the mark itself to decide marked positions. This insertion mechanism can be validated in our detection algorithm to decide whether a watermark exists or not. A badly destroyed marked relation or only a small part of it could still be detected successfully. Our recover algorithm introduces a competing mechanism to help recover the exact meaningful watermark after the detection result confirms the existence of the watermark. The experiments show it’s robust to various attacks.