抽象的

Privacy Preserving Public Auditing for Data in Cloud Storage

M.Priya, E. Anitha, V.Murugalakshmi

Cloud computing is a type of computing that relies on sharing computing resources rather than having local servers or personal devices to handle applications. Cloud data storage has many advantages over local data storage. User can upload their data on cloud and can access those data anytime anywhere without any additional burden. Cloud Computing reduces cost by allocate computing and storage resources, complex with an on demand provisioning mechanism relying on a pay per use business model. The User doesn’t have to worry about storage and maintenance of cloud data. As the data is stored at the remote place how users will get the confirmation about stored data. Hence Cloud data storage should have some mechanism which will specify storage correctness and integrity of data stored on cloud. Users can resort to a third-party auditor (TPA) to check the integrity of outsourced data and be worry free. TPA should be able to efficiently audit the cloud data storage without demanding the local copy of data. Specifically, our contribution in this work can be summarized as the following aspects: Stimulate the public auditing system of data storage security in Cloud Computing and provide a privacy preserving auditing protocol, i.e., our proposal supports an external auditor to audit user’s outsourced data in the cloud without learning information on the data content. In Our scheme is the first to support scalable and capable public auditing in the Cloud Computing. In exacting, our scheme achieves batch auditing where several delegated auditing tasks from different users can be performed concurrently by the TPA.