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Data storage in cloud is widely utilized by different commercial, educational, scientific, healthcare applications and much more. The major concern apart from data security is data integrity. Our work focuses on data integrity. In spite of the presence of Service Level Agreement (SLA) between the data owner and CSP, the data integrity may be affected and also todays’ cloud computing platform processes more of real-time data, which involves dynamic data operations. Most of the existing works intend to verify the cloud data integrity however the issues related to data replicas are not usually considered and most of the existing cloud techniques fail to focus on dynamic data operations. This article presents an outsourced auditing with data integrity verification scheme (OA-DIV) scheme that can handle multiple copies of cloud data and supports dynamic data operations such as data insertion, deletion and updation. The performance of the proposed work is tested with respect to communication cost and processing time, while comparing the results with the existing approaches.

Outsourced Auditing With Data Integrity Verification Scheme (OA-DIV) and Dynamic Operations for Cloud Data with Multi-Copies