Abstract

In the emerging networked environments learning tasks are encountering situations in which the relevant data exists in a number of geo-graphically distributed databases that are connected by communication networks. For the past decade with recent esteem of cloud computing, user have the opportunity to outsource their data .Since the data on cloud is in encrypted form performing data mining task as the challenging issue and cloud user have privacy and security issue in protecting both data and query privacy among data owner, client and the cloud. In this paper we focus on secure retrieving of an outsourced encrypted data without loss of generality and provides privacy and security by assigning attribute key to the data. Further we enhance a multi level trust privacy preserving scheme to provide a solution based on secure traversal index based framework and homomorphic encryption scheme for processing queries on R-Tree index.

Authors and Affiliations