PRIVACY PRESERVATION TECHNIQUE: CLUSTER BASED CRYPTOGRAPHIC TECHNIQUES FOR PRIVATE DATA PROTECTION

Abstract

Data mining is the process of automatically discovering useful information from large data repositories. Data mining techniques are applied to wide variety of applications in order to find novel and useful patterns that might otherwise remain unknown. The private and sensitive details can also be extracted with these techniques. So a number of privacy preserving techniques have been developed to provide privacy for private and sensitive information of the individuals. The major drawback with these existing techniques is their over anonymity property. As a result the tradeoff between accuracy of data mining results and privacy is not maintained properly. To overcome this drawback in this paper a cluster based cryptographic technique is described which could provide better privacy for private information of individuals.