A Study on Deduplication and Secure Public Auditing in Cloud Storage

Vallabhaneni. Hema Latha, K. Narayana Rao

Abstract


Storing sensitive data to cloud storage becomes an important trend, the data owner’s getting burden free which benefits in sparing efforts on heavy data maintenance and management. The Data which is outsourced to cloud is not secure why because the cloud is Untrusted, and it leads privacy concerns on how to assure data deduplication in cloud while getting integrity auditing. In this paper , we study the problem of integrity auditing and secure deduplication on cloud data. Specifically, aiming at getting both data integrity and deduplication in cloud, we present two secure systems, namely SecCloud and SecCloud+. SecCloud introduces an auditing entity with a maintenance of a MapReduce cloud, which helps clients create data tags before uploading as well as audit the integrity of data having been saved in cloud. Compared with previous 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 enables integrity auditing and secure deduplication on encrypted data.


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Copyright (c) 2016 Vallabhaneni. Hema Latha, K. Narayana Rao

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