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Wednesday, 13 June 2012

A Privacy-Preserving Remote Data Integrity Checking Protocol with Data Dynamics and Public Verifiability


INTRODUCTION
      Storing data in the cloud has become a trend. An increasing number of clients store their important data n Remote servers in the cloud, without leaving a copy in their local computers. Sometimes the data stored in the cloud is so important that the clients must ensure it is not lost or corrupted. While it is easy to check data integrity after completely downloading the data to be checked, downloading large amounts of data just for checking data integrity is a waste of communication bandwidth. Hence, a lot of works have been done on designing remote data integrity checking protocols, which allow data integrity to be checked without completely downloading the data. Remote data integrity checking is first introduced in which independently propose RSA-based methods for solving this problem. Propose a remote storage auditing method based on pre-computed challenge-response pairs. Recently many works focus on providing three advanced features for remote data integrity checking protocols: data dynamics public verifiability and privacy against verifiers the protocols is support data dynamics at the block level, including block insertion, block modification and block deletion. The protocol of supports data appends operation. In addition, can be easily adapted to support data dynamics can be adapted to support data dynamics by using the techniques of. On the other hand, protocols in support public verifiability, by which anyone (not just the client) can perform the integrity checking operation.
 The protocols support privacy against third party verifiers. We compare the proposed protocol with selected previous protocols. (See Table I.) In this paper, we have the following main contributions:We propose a remote data integrity checking protocol for cloud storage, which can be viewed as an adaptation of Seb´e et al.’s protocol  The proposed protocol inherits the support of data dynamics from and supports public verifiability and privacy against third party verifiers, while at the same time it doesn’t need to use a third-party auditor. We give a security analysis of the proposed protocol, which shows that it is secure against the untrusted server and private against third party verifiers.We have theoretically analyzed and experimentally tested the efficiency of the protocol. Both theoretical and experimental results demonstrate that our protocol is efficient. The rest of this paper is organized as follows. In Section II, technical preliminaries are presented. In Section, the proposed remote data integrity checking protocol is presented. In Section IV, a formal analysis of the proposed protocol is presented. In Section V, we describe the support of data dynamics of the proposed protocol. In Section VI, the protocol’s complexity is analyzed in the aspects of communication, computation and storage costs; furthermore, experimental results are presented for the efficiency of the protocol. And finally, conclusions and possible future work are presented in Section

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