Abstract
Privacy preserving is a very popular technique because it permits sharing of privacy sensitive data for analysis purposes. and people are ready to share their data. Now a days, the vast availability of personal data which made the problem of privacy preserving data mining that is very important. It is used for protecting the privacy of the critical and sensitive data and obtain more accurate results of data mining. Privacy Preserving Data Mining (PPDM) approach add random noise to original data , which is used to publish the accurate information about original data. The main objective of privacy preserving data mining is to develop algorithms for modifying the original data, so that the private data and private knowledge remain private after mining process. This paper is used to reiterate several privacy preserving data mining technologies clearly and then analyze the advantages and disadvantages of these technologies.