Secure mining of the cloud encrypted database

Abstract

Due to the stunning characteristics of cloud computing, such as tremendous scalability, elasticity, cost-efficiency, pay-as-you go, and storage solutions, many enterprises and individuals are motivated to outsource their data to cloud service providers for availing its benefits. Protecting and preserving the privacy of these data represent a persistent barrier from adopting the cloud computing. Mining the cloud data may be misused for a variety of purposes. To counter this problem, we propose a secure framework for mining the cloud data in a privacy preserving manner. Secure k Nearest Neighbor (kNN) classifier is used in this paper. In this work, we preserve all the restrictions that we specify privacy and success to exclude the third party from the mining process. We test our secure classifier with different parameters to explain its influence on the accuracy and privacy the suggested classifier.