Privacy in Distributed Database

Abstract

Privacy concern often constraint data mining. This paper addresses the problem of Association rule mining where operation is distributed across multiple sites. Each site holds the some transaction, and the sites wish to collaborate to identify valid Association rule globally. However the sites must not acknowledge individual data. We presents the multi party transaction data who discovering frequent item sets with minimum support, without either sites knowing the individual data.
Keywords- Horizontal Partitioning; Association Rule Mining; Secure multi party computation; Ck secure sum; modified Ck secure sum; Rk Secure Sum; Modified Rk Secure Sum.