姚念民

个人信息Personal Information

教授

博士生导师

硕士生导师

任职 : 智能计算教研室主任

性别:男

毕业院校:吉林大学

学位:博士

所在单位:计算机科学与技术学院

学科:计算机应用技术. 计算机软件与理论

办公地点:创新园大厦A820

联系方式:13304609362

电子邮箱:lucos@dlut.edu.cn

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Hierarchical remote data possession checking method based on massive cloud files

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论文类型:期刊论文

发表时间:2017-01-01

发表刊物:Journal of Algorithms and Computational Technology

收录刊物:EI

卷号:11

期号:2

页面范围:126-134

ISSN号:17483018

摘要:Cloud storage service enables users to migrate their data and applications to the cloud, which saves the local data maintenance and brings great convenience to the users. But in cloud storage, the storage servers may not be fully trustworthy. How to verify the integrity of cloud data with lower overhead for users has become an increasingly concerned problem. Many remote data integrity protection methods have been proposed, but these methods authenticated cloud files one by one when verifying multiple files. Therefore, the computation and communication overhead are still high. Aiming at this problem, a hierarchical remote data possession checking (hierarchical-remote data possession checking (H-RDPC)) method is proposed, which can provide efficient and secure remote data integrity protection and can support dynamic data operations. This paper gives the algorithm descriptions, security, and false negative rate analysis of H-RDPC. The security analysis and experimental performance evaluation results show that the proposed H-RDPC is efficient and reliable in verifying massive cloud files, and it has 32 ?1% improvement in performance compared with RDPC. © The Author(s) 2016.