Cloud Data Security Using Third Party Auditor

Abstract

Recently, cloud computing changed rapidly the way computing takes place. without any investment the user use cloud storage and other facilities. The user store data on remote server in the data center so there is a security problem concern to the cloud server. This work studies the problem of ensuring the integrity of data storage in Cloud Computing. we also focused on third party auditor (TPA), on the side of the cloud client for verifying the integrity of dynamically stored data on the cloud. Through the auditing eliminates the involvement of the client. General forms of data operation supports the data dynamics such as insertion, and deletion, block modification. Cloud Computing services are not limited to archive or backup data only. so the prior work on remote data integrity frequently lacks the support of either public auditability or dynamic data operations, this paper achieves both. In this firstly we identity the direct extensions security problems with the updated data. and then show how to construct an elegant verification scheme for the seamless integration of these two salient features in our protocol design. For archiving the data dynamic efficiently, manipulating the classic Merkle Hash Tree construction for block tag authentication to improve the storage model of existing system. To support efficient handling of multiple auditing tasks, we further explore the technique of bilinear aggregate signature to extend our main result into a multiuser setting, where TPA can perform multiple auditing tasks simultaneously. Extensive security and performance analysis show that the proposed schemes are highly efficient and provably secure.