A new Relational Watermarking Scheme Resilient to Additive Attacks

Strengthening the ownership rights on outsourced relational database is very important in today’s internet environment. Especially where sensitive, valuable content is to be outsourced. Let us take an example of university database, weather data, stock market data, power consumption consumer behaviour data, and medical and scientific data. The increasing use of databases in applications beyond “behind–thefirewalls data processing” is creating a need for watermarking relational databases. Watermarking for relational data is made possible by fact that real data can very often tolerate a small amount of errors without any significant degradation with respect to their usability. In this paper, we present a mechanism that is resilient or insensitive to additive attacks, how to embed and detect watermark in relational database. In additive attack the attacker simply inserts his/her own watermark in original data. In our proposed system we can draw graphs and original ownership claim can be resolved by