Effective Watermarking Techniques on Structured Datasets

The data that floats on the web has a wide exposure to authorized and unauthorized users who may copy and reuse or manipulate the data. This can lead to serious breach in the security of the individual or organization who owns the data. Apart from unauthorized regeneration, the data may be subjected to various types of attacks. Watermarking serves as an effective measure to ensure ownership protection and attack resilience of digital data. In this paper we survey the current state-of-the-art methodologies advocated for watermarking relational databases and their effectiveness against different categories of data attacks.