An Efficient Provable Massive Data Migration Approach Under Secure Cloud Storage

Currently, a huge number of users have files saved on various clouds, and it is not uncommon for a significant quantity of files to be transferred between clouds. There is a possibility that the files of users will become corrupted during the storage and migration processes. This is due to the fact that cloud providers &servers are not completely trustworthy. As a result, it is necessary to carry out integrity verification, and the amount of time spent on verification should be kept to a minimum. When it comes to migrating a big number of files, the existing methods for proving data migration continue to struggle with the problem of a high time overhead factor. In order to address this issue, the authors of this work suggested a hierarchical proven data migration approach. This approach has the potential to offer the effectiveness of data transmission integrity authentication while moving a huge quantity of continuous files amid clouds. This research provides a comprehensive description of the method that has been proposed, as well as an evaluation of the performance of the security analysis. In light of the findings, it was demonstrated that the suggested strategy has the potential to drastically reduce the detection latency of file transfers between clouds.