Paper Details

Cloud Computing moves the application software and databases to the centralized large data centers,wherethe management of the data and services may not be fully trustworthy. In this work, we study the problem of ensuring theintegrity of data storage in Cloud Computing. To reduce the computational cost at user side during the integrityverification of their data, the notion of public verifiability has been proposed. However, the challenge is that thecomputational burden is too huge for the users with resource-constrained devices to compute the public authenticationtags of file blocks. To tackle the challenge, we propose OPoR, a new cloud storage scheme involving a cloud storageserver and a cloud audit server, where the latter is assumed to be semi-honest. In particular, we consider the task ofallowing the cloud audit server, on behalf of the cloud users, to pre-process the data before uploading to the cloudstorage server and later verifying the data integrity. OPoR outsources the heavy computation of the tag generation to thecloud audit server and eliminates the involvement of user in the auditing and in the preprocessing phases. Furthermore,we strengthen the Proof of Retrievabiliy (PoR) model to support dynamic data operations, as well as ensure securityagainst reset attacks launched by the cloud storage server in the upload phase

Pravin Ranjane, Prof. Rajesh Phursule, “Proof of Retrievability and Deduplication in cloud Computing with ResourceConstrained Devices and server”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 6, pp. 769-774, June 2017.