A REVIEW PAPER ON ASSOCIATION RULES FOR PRIVACY-PRESERVING MINING FROM VARIOUS ENCRYPTION TECHNIQUES

A new consequence has been significant in the Cloud computing in the example of data mining as a service, a company missing in proficiency or computational its mining needs to a third party service provider, the items and the association rules of the database are measured private property of the company. To care for company confidentiality, the data owner transforms its data and ships it to the server, sends mining queries to the server, and recovers the true patterns from the extracted patterns expected from the server. This paper, study the difficulty of the association rule mining task within a corporate privacy preserving framework. An attack model based on backdrop information and devises an idea for confidentiality preserve removal. It ensure that each altered item is the same with respect to the attackers backdrop information, from at smallest amount k1 other altered items. This paper will be efficient and keep confidentiality.