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PRIVACY – PRESERVING PUBLIC AUDITING FOR MULTIPLE CLOUD SERVICE PROVIDERS

Mr. Arun K.

II year ME (CSE), Shree Venkateshwara Hi-Tech Engg College, Gobi

Dr. T. Senthil Prakash,

Professor & HOD, Shree Venkateshwara Hi-Tech Engg College, Gobi

Ms. T. Malathi

II year ME (CSE), Shree Venkateshwara Hi-Tech Engg College, Gobi

90-99

Vol: 6, Issue: 1, 2016

Receiving Date: 2015-12-26 Acceptance Date:

2016-01-10

Publication Date:

2016-02-07

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Abstract

Using Cloud Storage, users can remotely store their data and enjoy the on-demand high quality applications and services from a shared pool of configurable computing resources, without the burden of local data storage and maintenance. However, the fact that users no longer have physical possession of the outsourced data makes the data integrity protection in Cloud Computing a formidable task, especially for users with constrained computing resources. Moreover, users should be able to just use the cloud storage as if it is local, without worrying about the need to verify its integrity. Thus, enabling public auditability for cloud storage is of critical importance so that users can resort to a third party auditor (TPA) to check the integrity of outsourced data and be worry-free. To securely introduce an effective TPA, the auditing process should bring in no new vulnerabilities towards user data privacy, and introduce no additional online burden to user. This project proposes a secure cloud storage system supporting privacy-preserving public auditing. We further extend our result to enable the TPA to perform audits for multiple users simultaneously and efficiently. In addition, it articulates performance optimization mechanisms for this scheme, and in particular present an efficient method for selecting optimal parameter values to minimize the computation costs of clients and storage service providers. It shows that the solution introduces lower computation and communication overheads in comparison with non-cooperative approaches. The application used for simulation is designed using Microsoft Visual Studio .Net 2005 as front end. The coding language used is Visual C# .Net. MS-SQL Server 2000 is used as back end database.

Keywords: Cloud computing, Virtual machine, and Multiparty computation.

References

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