Privacy Preserving Data Mining- An Overview

Abstract- In recent years, ample amount of available personal data has made privacy preserving data mining issue an important one. An overview of new and quickly rising research field of privacy preserving data mining and a few exist problems provided in this paper. Also made a classification for the privacy preserving data mining and analyze some works in this field. But sometimes these patterns can reveal sensitive information about the data holder or individuals whose information are the subject of the patterns. The notion of privacy-preserving data mining is to identify and disallow such revelations as evident in the kinds of patterns learned using traditional data mining techniques Data distortion method for achieving privacy protection association rule mining and privacy protection data release were focused on discussion. Detailed evaluation criteria of privacy preserving algorithm was illustrated, which include algorithm performance, data utility, privacy security degree and data mining difficulty. Finally, the development of privacy preserving data mining for further directions is prospected. Keywords-PPDM, randomization, k-anonymity, secure multipart computation I