A Hierarchical Provable Massive Data Migration Method under Multicloud Storage. (17th December 2021)

• Record Type: Journal Article
• Authors: Haifeng, Ma; HaiTao, Yu; Ji, Zhang; Junhua, Wang; Qingshui, Xue; Jiahai, Yang
• Other Names: Wang Ding Academic Editor.
• Is Part Of: Wireless communications and mobile computing. Volume 2021(2021)
• Publication Date: 2021-12-17
• Subjects: Wireless communication systems -- Periodicals; Mobile communication systems -- Periodicals; 621.38205
• DOI: 10.1155/2021/7609543
• Languages: English
• ISSNs: 1530-8669

Abstract

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.