Auditing of Dynamic Big Data Storage on Cloud Using TPA

Computer Engineering

Cloud computing has includes many areas like IT companies, business line , all online shopping sites ,it also including mobile phone service providers etc. But because of such widely speeded area it has arises issues related to storage capacity and security. Cloud user can no longer physically maintain direct control over their data, which makes data security one of the major concerns of using cloud. Existing research work already allows data integrity to be varied without possession of the actual data. The trusted third party known as auditor. And verification done by this auditor is known as authorized auditing. The existing system has many drawbacks regarding third party like any one can challenge to the cloud service provider for proof of data integrity. Also in it includes re-search in BLS signature algorithm to supporting fully dynamic data updates. This algorithm is used to update an only red-sized block known as coarse-grained updates. Though this system takes more time for updating data. Here we are providing a system which support authorized auditing and ne-grained update request. Thus, our system dose not only increases security and edibility but also providing a new big data application to all cloud service providers for large data frequent small updates. Maintaining the storages is very difficult task and it requires higher resource costs for the implementation. Here we have proposed a formal analysis technique called full grained updates. It includes the efficient searching for downloading the uploaded file and also focuses on designing the auditing protocol to improve the server-side protection for the efficient data confidentiality and data availability.

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