Abstract
Now, many users have stored files on multiple clouds, and sometime, a large number of files are migrated between clouds. Because cloud providers and cloud servers are not entirely trusted, the corruption of user’s files event occur from time to time during the processes of storage and migration. Therefore, integrity verification must be performed, and the time verification overhead should be as low as possible. The existing provable data migrate methods still have the issue of high time overhead when a large number of files are migrated. Aiming at this problem, this paper proposed a hierarchical provable data migration method, which can provide the efficiency of data transfer integrity verification when moving large number of continuous files between clouds. In this paper, the proposed method is described in detail as well as the security analysis performance evaluation. The results proved that the proposed method can significantly decrease the detection latency of files transfer between clouds.
Highlights
With the booming development of cloud computing, Internet of Things, and mobile devices etc., our lives have changed profoundly due to convenience and challenge to us
This paper proposed a hierarchical provable data migration method for the scenario of massive data migration between clouds, which is a kind of efficient selection authentication method and can significantly reduce computation and communication overheads as well as bandwidth requirements
In order to solve the problem of high verification overhead when massive files are migrated between clouds, hierarchical verification mode (HVM) is applied to the integrity verification of cloud data migration
Summary
With the booming development of cloud computing, Internet of Things, and mobile devices etc., our lives have changed profoundly due to convenience and challenge to us. Mobile devices no longer meet the requirements for limited storage capacity, and cloud storage is the ultimate solution It can provide massive storage and can reduce overhead of data management significantly. This paper proposed a hierarchical provable data migration method for the scenario of massive data migration between clouds, which is a kind of efficient selection authentication method and can significantly reduce computation and communication overheads as well as bandwidth requirements. The authentication time of massive data migration between clouds can be obviously reduced, improving the authentication efficiency of file migration (2) This paper give a security analysis of the proposed scheme based on our security model and prove that our scheme is secure against internal and external attacks. It can be applied to many data integration authentication scenarios, such as single cloud storage, multicloud storage, and Internet of things (4) The security intensity of the proposed method can be adjusted, either high security intensity and high overhead with fine-grained authentication, or low security intensity and low overhead with coarsegrained authentication
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