An Enhanced Approach to Privacy-Preserving in Data Mining and its Techniques

The Privacy preserving Data mining (PPDM) has been among the important issues of current research that deals with preserving privacy of individual’s data over a network. The major area of concern is that non-sensitive data even may deliver sensitive information, including personal information, facts or patterns. In this paper, we present a unique concept of combining different PPDM techniques which provides high level security and integrity to confidential data. This paper mainly highlights the improved results that can be obtained on merging the two different PPDM techniques. One of the latest concept of PPDM called Slicing has also been explained in our paper. It has been observed that slicing preserves better data utility and thus we have tried to merge slicing with one of the best security mechanism that is Cryptography.