Asian Journal of Engineering and Technology Innovation

A survey on Balancing the Load of Big Data for Preserving Privacy Access in Cloud

Mrs. Anooja Ali and Sumalatha D.P

Department of Computer Science, Reva University, Bangalore,India

Abstract

Data of users can be remotely stored on Cloud Storage and on- demand very good quality applications and services can be enjoyed without wasting any data storage space and maintenance cost locally. Documents which are sensitive should be stored in encrypted format for security reasons. Hence it would be difficult for document searching which is in encrypted format. There are many protocols which have been proposed to search keyword over encrypted data to overcome this issue. A method called Oblivious RAM can be used in hiding access patterns of the data. But such protocols are not vigorous and do not scale well. In this paper, we explain a different kind of attack which makes full use of data access pattern leakage which ensures only those important delicate information can be disclosed. A latest privacy preserving access control system is proposed for ensuring data to be safe in cloud. We have shown the simplified model of search over remote encrypted data from Mallory’s point of view.

Keywords:

access patterns, authenticate,encryption,documents, oblivious RAM,storage space