Privacy Preserving Utility Mining Using Sanitization Approach

This thesis is basically designed for privacy preserving utility mining using sanitization approach. In this work itemsets are provided safety using an approach , firstly we will calculate the utility of all itemsets as the product of item cost and its number of transactions, then we will set a threshold utility which will be the average of max and min utility. Now, we will try to reduce the difference between the utility of item and threshold, this can be done by applying a formula generated in new algorithm named as “Privacy Preserving utility Mining Using Sanitization(PPUMUS)” developed by us. Applying this algorithm the difference gets reduce to such an extent now those sensitive items which had greater utility than threshold, cannot be mined. Further in this approach, apply some sort of encryption on the item name so that they appear unintelligent to other users and outsiders and provide password protection. The output of both the approaches is a sanitized database DB’.