Data Security in Big Data

Abstract

The emergence of big data and the potential to undertake complex analysis of very large data sets is, essentially, a consequence of recent advances in the technology that allow this. Government agencies will need to manage these new requirements efficiently in order to deliver net benefits through the adoption of new technologies .In this paper we have tried to safeguard our data from public use by identifying the legitimate user and attacker. We have also tried to make different sensitivity levels for different users databases for hidden patterns, finding predictive information that experts may miss because it lies outside their expectations. Data mining techniques are the result of a long process of research and product development. This evolution began when business data was first stored on computers, continued with improvements in data access, and more recently, generated technologies that allow users to navigate through their data in real time. Data mining takes this evolutionary process beyond retrospective data access and navigation to prospective and proactive information delivery. Data mining is ready for application in the business community because it is supported by three technologies that are now sufficiently mature