| 一种层次式远程数据持有检测方法 |
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| 引用本文： | 马海峰,杨家海,姚念民,关明山.一种层次式远程数据持有检测方法[J].计算机科学,2017,44(3):55-58. |
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| 作者姓名： | 马海峰 杨家海 姚念民 关明山 |
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| 作者单位： | 黑龙江科技大学计算机与信息工程学院 哈尔滨150022;清华大学网络科学与网络空间研究院 北京100084,清华大学网络科学与网络空间研究院 北京100084,大连理工大学计算机科学与技术学院 大连116024,黑龙江科技大学计算机与信息工程学院 哈尔滨150022 |
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| 基金项目： | 本文受黑龙江省教育厅科学技术研究项目(12533052)资助 |
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| 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。
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| 关 键 词： | 云存储 数据完整性 数据持有证明 同态标签 哈希树 |
| 收稿时间： | 2016/1/5 0:00:00 |
| 修稿时间： | 2016/5/11 0:00:00 |
Hierarchical Remote Data Possession Checking Method |
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| MA Hai-feng,YANG Jia-hai,YAO Nian-min and GUAN Ming-shan.Hierarchical Remote Data Possession Checking Method[J].Computer Science,2017,44(3):55-58. |
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| Authors: | MA Hai-feng YANG Jia-hai YAO Nian-min and GUAN Ming-shan |
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| Affiliation: | Institute for Computer and Information Engineering,Heilongjiang University of Science and Technology,Harbin 150022,China;Institute for Network Sciences and Cyberspace,Tsinghua University,Beijing 100084,China,Institute for Network Sciences and Cyberspace,Tsinghua University,Beijing 100084,China,Institute for Computer Sciences and Technology,Dalian University of Technology,Dalian 116024,China and Institute for Computer and Information Engineering,Heilongjiang University of Science and Technology,Harbin 150022,China |
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| Abstract: | 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 computation and communication overhead is still expensive when the number of file is large.Aiming at this problem,a hierarchical 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. |
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| Keywords: | Cloud storage Data integrity Provable data possession Homomorphism tag Hash tree |
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