An Overview of Secure Mining of Association Rules in Horizontally Distributed Databases
Keywords:
Privacy Preserving Data Mining, Distributed Computation, Frequent Item sets, Association RulesAbstract
In this paper, propose a protocol for secure mining of association rules in horizontally distributed databases. Now a day the current leading protocol is Kantarcioglu and Clifton. This protocol is based on the Fast Distributed Mining (FDM) algorithm which is an unsecured distributed version of the Apriori algorithm. The main ingredients in this protocol are two novel secure multi-party algorithms 1. That computes the union of private subsets that each of the interacting players hold, and 2. Tests the inclusion of an element held by one player in a subset held by another. In this protocol offers enhanced privacy with respect to the other one. Differences in this protocol, it is simpler and is significantly more efficient in terms of communication rounds, communication cost and computational cost [1]
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