Paper Title
Efficient Method For Cloud Data Storage And Security Based On Third Party Auditor

Abstract
Abstract—in this paper we have presented the extended approach for cloud computing data security and integrity verification with dynamics data under the multiple users. Cloud computing provides more advantages for the users to create and data storing in the remote servers thereby utilizing fewer assets in client scheme. Before the efficient approach is presented with single client which is gets attached with TPA and CSS (Cloud Storage Server) for data dynamics and integrity verification. Although under the cloud environment there may be multiple clients connected with CSS; hence we are aspiring to utilize the approach effectively for such situations by utilizing the concept of synchronization of multiple clients with TPA and CSS. This paper is focusing over security and integrity of facts and figures retained at untrusted or semi-trusted cloud storage server under multiple purchasers. We first identify the difficulties and potential security problems of direct extensions with fully dynamic data updates from prior works. Here significantly it desires to monitor the jobs related to data auditing effectively as per the clients demands. The introduction of TPA eliminates the involvement of the client through the auditing of whether his data stored in the cloud are indeed intact, which can be important in achieving economies of scale for Cloud Computing. The suggested scheme is capable of carrying both public audit ability as well as facts and figures dynamics. Merkle Hash Tree is furthermore utilized for advancing the grade of authentication. The new security model for data blocks security is presented.