A Comparative Study on Privacy Preserving Datamining Techniques

Abstract

Privacy protection is very important in the recent years for the reason of increasing in the ability to store data. In particular, recent advances in the data mining field have lead to increased concerns about privacy. Data in its original form, however, typically contains sensitive information about individuals, and publishing such data will violate individual privacy. The current practice in data publishing based on that what type of data can be released and use of that data. Recently, PPDM has received immersed attention in research communities, and many approaches have been proposed for different data publishing scenarios. In this comparative study we will systematically summarize and evaluate different approaches for PPDM, study the challenges ,differences and requirements that distinguish PPDM from other related problems, and propose future research directions.