A Survey on Secure Auditing and Deduplicating Data in Cloud

KV Prasad, R. Pavan Kuamr, G. Sruthi, M. Laxmi Prasanna

Abstract


As the cloud computing technology grows during the last decade, outsourcing data to cloud service for storage becomes an attractive trend, which benefits in sparing efforts on heavy data maintenance and management. Nevertheless, since the outsourced cloud storage is fully untrustworthy, it raises security concerns on how to realize data deduplication in cloud while accomplishing integrity auditing. In this work, we study the problem of integrity auditing and secure deduplication on cloud data. Specifically, we focusing to achieving both data integrity and deduplication in cloud, we come up with two secure systems, namely SecCloud and SecCloud+. SecCloud offer an auditing entity with a maintenance of a MapReduce cloud, which assist clients generate data tags before uploading as well as audit the integrity of data having been stored in cloud. Compared with last work, the computation by user in SecCloud is greatly reduced during the file uploading and auditing phases. SecCloud+ is designed motivated by the fact that customers always want to encrypt their data before uploading, and empower integrity auditing and secure deduplication on encrypted data.


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