A Randomized Approach for Privacy Preservation

Abstract

In this time of big data boom, data mining has become a service. The main idea of data mining is to form generalized knowledge rather than ï¬nding out personalized information about a particular individual. When privacy regulations are there it prevents data owners from sharing information. So data owners should devise a strategy that guarantees privacy as well as data mining results. This paper discusses the possibility of using a randomized approach with maximization and minimization for privacy preservation.