Paper Title:Enhanced and Resilient Watermarking Technique for Non-numerical Relational data

Abstract

Nowadays there is very much need of data to be available online for the objective of research studies, current market analysis, predictions to be made for decision making and various other factors. In particular Relational database is shared by owners for the above purposes over the internet that is to data storage locations in a cloud which is being used in the collaborative environment. Consequently, arises a need for a technique to protect the available digital data against security threats like ownership rights and tampering of data. For which Robust and Reversible Watermarking Techniques works towards ensuring ownership rights over shared Numeric relational data and protects against tampering of data without compromising much with data quality having high usability of data and ensures the recovery of original data. The relational database shared by organizations cannot be only limited to have numeric data and they have non-numeric data as well. Therefore this paper proposes and explains in detail the Semi-blind Robust and Reversible watermarking technique for non-numeric data that is Textual data.


Keywords:Genetic Algorithm, Mutual Information, Non-Numerical, Robust and Reversible Watermarking.