Load Balancing Using Oblivious RAM for Privacy-Preserving Access to Big Data in Cloud

Abstract

In the era of big data, many users and companies start to move their data to cloud storage to simplify data management and reduce data maintenance cost. However, security and privacy issues become major concerns because third-party cloud service providers are not always trusty. Although data contents can be protected by encryption, the access patterns that contain important information are still exposed to clouds or malicious attackers. To overcome this problem, in this work Oblivious RAM (ORAM) is applied which aims to enable privacy preserving access to big data in cloud. After applying ORAM to big data in cloud the access load balancing problem arises. Iterative Load Balancing algorithm (ILB) is applied to achieve balanced load.