Authors
University of Technology-Iraq, Baghdad, Iraq
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 the
privacy of sensitive data and makes the stolen of the knowledge resulted much
more easily. The main objective of the proposed system is preserving the privacy
of data mining, that will done by developing algorithms for modifying, encrypting
and distributing the original data in the database to be mined. So we ensure the
privacy of data (original data in database that will be mined) and the privacy of
knowledge (the association rules extracted from mined database) even after the
mining process has taken place. The problem that arises when confidential
information can be derived from released data by unauthorized users can be solved.
Keyword:
Keywords
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