Asian Journal of Engineering and Technology Innovation

Asian Journal of Engineering and Technology Innovation

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Securing Numerical Relational Dataset using Robust and Reversible Watermarking Approach based on Genetic Algorithm

Nicy Jose

Shree Devi Institute of Technology Kenjar Airport Road, Mangalore – 574 142 Karnataka State, india.

Abstract

In this paper, we basically concern for watermark embedding by taking into account of selectively watermark appropriate attribute for the processes of knowledge detection and the reconstruction of the original data in the presence of powerful cyber attacks. Here, robust and the reversible watermarking approach to numerical relational data based on the genetic algorithm has been proposed. Due to the accelerated growth in the management of the information systems that consists of relational databases, these datasets are highly exposed to the cyber threats. Watermarking is advocated to attain ownership claims over commonly shared relational datasets and for delivering a medium for tackling alterations. When we accomplish ownership rights using this approach the basic data, is subjected to some alterations as an aftereffect of which, the feature of the data gets mediated. Thus the reversible watermarking approach is employed to assure quality and restoration of the data. The analysis of the experiments shows the efficiency of this approach against malicious attacks and display that these techniques outrun the existing ones.

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