Fine-Grained Data Updates on Cloud with Authorized Public Auditing

cloud computing is new paradigm that helps cloud user to access services in pay-as-you-go mode. This has helped the organizations to reduce huge capital investments in their own IT infrastructure. Data security is one of the major concerns in cloud computing environment. The cloud user stores his data on cloud storage will no longer have direct control over his data. Existing systems already supports data integrity check without possessions of actual data file. Data Auditing is the process of verification of user data stored on cloud and is done by trusted third party who is called Third Party Auditor (TPA). There are several drawbacks of existing schemes. First, although some of the recent works supports updates on fixed-sized data blocks which are called coarse-grained updates, they fail to support for variable-sized block operations. Second, a necessary authorization is missing between Cloud Service Provider, cloud user and the Third Party Auditor (TPA). The newly proposed scheme will provide support for Fine-grained data updates on dynamic data using RMHT algorithm as well as support for authorization of Third party Auditor. We show that the proposed scheme will provide better result than existing schemes.