A Secure Framework for efficient search and mining over an encrypted data using homomorphic encryption

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.