A Survey on Secure Auditing and Deduplication Data in Cloud

N. Srinivas, T. Swathi

Abstract


As the cloud computing technology develops throughout the last decade, outsourcing data to the cloud server for storage becomes a attractive development, that advantages in economical efforts on significant information maintenance and management. Nevertheless, since the outsourced cloud storage isn't totally trustworthy, it raises security issues on the way to understand data deduplication in cloud whereas achieving integrity auditing. during this work, we have a tendency to study the matter of integrity auditing and secure deduplication on cloud information. Specifically, aiming at achieving each information integrity and deduplication in cloud, we have a tendency to propose 2 secure systems, particularly SecCloud and SecCloud+. SecCloud introduces associate auditing entity with a maintenance of a MapReduce cloud, that helps shoppers generate information tags before uploading additionally as audit the integrity of knowledge having been keep in cloud. Compared with previous work, the computation by user in SecCloud is greatly reduced throughout the file uploading and auditing phases. SecCloud+ is meant impelled by the actual fact that customers continually need to encode their information before uploading, and allows integrity auditing and secure deduplication on encrypted information.

 


Keywords


Deduplication, Block Level Check, authorized duplicate check, confidentiality, File level Check, Metadata Supervisor.

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