摘要
在云存储环境下,云服务器并不完全可信。用户如何以较低开销验证云上数据的完整性成为用户日益关心的问题。目前已提出多种保护方法,这些方法在认证多个文件时需要对文件逐一进行认证,因此当文件数很大时其计算和通信开销仍较大。针对此问题,提出一种层次式远程数据持有检测方法。该方法与远程数据持有检测方法相结合,能提供高效且安全的远程数据完整性保护,并支持动态数据操作。对提出的方法进行了安全性分析和实验评估,结果表明,提出的方法安全可靠,在较低的漏检率下,相比远程数据持有检测方法有45%~80%的性能提升。
In cloud storage environment, the storage servers may not be fully trustworthy. How to verify the integrity of the cloud data with a lower overhead for users has become increasingly concerned problem. While many methods have been proposed, these methods in the verification of multiple files need to authenticate them one by one. So the computa- tion and communication overhead is still expensive when the number of file is large. Aiming at this problem, a hierarchi- cal remote data possession checking method was proposed. Combining with remote data possession checking method, the proposed method can provide more efficient and secure remote data integrity protection, and support dynamic data opera- tion. The security analysis and experimental evaluation results show that the proposed method is safe and reliable, and it can gain 45%~80% performance improvement with lower false negative rate.
作者
马海峰
杨家海
姚念民
关明山
MA Hai-feng YANG Jia-hai YAO Nian-min GUAN Ming-shan(Institute for Computer and Information Engineering, Heilongjiang University of Science and Technology, Harbin 150022 ,China Institute for Network Sciences and Cyberspace,Tsinghua University,Beiiing 100084,China Institute for Computer Sciences and Technology, Dalian University of Technology, Dalian 116024, China)
出处
《计算机科学》
CSCD
北大核心
2017年第3期55-58,共4页
Computer Science
基金
黑龙江省教育厅科学技术研究项目(12533052)资助
关键词
云存储
数据完整性
数据持有证明
同态标签
哈希树
Cloud storage,Data integrity,Provable data possession, Homomorphism tag,Hash tree