Privacy Preserving for Data Mining Applications

Abstract

The results of data Mining (DM) such as association rules, classes, clusters,etc, will be readily available for working team. So the mining will penetrate theprivacy of sensitive data and makes the stolen of the knowledge resulted muchmore easily. The main objective of the proposed system is preserving the privacyof data mining, that will done by developing algorithms for modifying, encryptingand distributing the original data in the database to be mined. So we ensure theprivacy of data (original data in database that will be mined) and the privacy ofknowledge (the association rules extracted from mined database) even after themining process has taken place. The problem that arises when confidentialinformation can be derived from released data by unauthorized users can be solved.Keyword: