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IT has moved into next generation with cloud computing being realized. The way application software and databases are stored has been changed. Now they are stored in cloud data centers in which security is a concern from client point of view. The new phenomenon which is used to store and manage data without capital investment has brought many security challenges which are not thoroughly understood. This paper focuses on the security and integrity of data stored in cloud data servers. The data integrity verification is done by using a third party auditor who is authorized to check integrity of data periodically on behalf of client. The client of the data gets notifications from third party auditor when data integrity is lost. Not only verification of data integrity, the proposed system also supports data dynamics. The work that has been done in this line lacks data dynamics and true public auditability. The auditing task monitors data modifications, insertions and deletions. The proposed system is capable of supporting both public auditability and data dynamics. The review of literature has revealed the problems with existing systems and that is the motivation behind taking up this work. Merkle Hash Tree is used to improve block level authentication. In order to handle auditing tasks simultaneously, bilinear aggregate signature is used. This enables TPA to perform auditing concurrently for multiple clients. The experiments reveal that the proposed system is very efficient and also secure. Index Terms: Cloud computing, public audit ability, cloud storage, cloud service provider

Enabling Public Audit Ability and Data Dynamics for Storage Security in Cloud Computing Data Integrity Proofs In Cloud Storage