Survey on Efficient Data Integrity Techniques for Distributed Cloud Storage

Recent advances have given rise to the popularityand success of cloud computing. Cloud storage enables users to remotely store their data and enjoy the on-demand high quality cloud applications without the burden of local hardware and software management. It moves the application software and databases to the centralized large data centres, where the management of the data and services may not be fully trustworthy. This unique paradigm brings about many new security challenges. To protect outsourced data in cloud storage against corruptions, enabling integrity protection, fault tolerance, and efficient recovery for cloud storage becomes critical. Therefore, we study the problem of remotely checking the integrity of regenerating-coded data against corruptions under a real-life cloud storage setting. In this paper surveys the various protocols to check cloud data integrity and compares them based on the integrity requirements. Finally we compared different remote checking integrity techniques: Replication, Erasure codes (Reed Solomon Code) and regenerating code for various file operations.