科研成果详情

题名Improving the security of a public auditing scheme for multiple-replica dynamic data
作者
发表日期2018
会议名称18th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP 2018)
会议录名称Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISBN978-303005233-1
ISSN0302-9743
卷号11338 LNCS
页码185-191
会议日期NOV 15-17, 2018
会议地点Guangzhou, China
摘要

Cloud auditing is a significant technique for determining the security of data owners’ data in cloud. However, multiple-replica places greater demands on cloud auditing, where not only the integrity of each data replica but also the number of replicas should be checked. Moreover, it is also significant to support dynamical updating for multiple-replica data. Therefore, how to achieve secure and effective multiple-replica dynamic data auditing is a cutting-edge issue for cloud auditing. Recently, an efficient multi-replica dynamic data auditing scheme (IEEE Transactions on Information Forensics & Security, DOI: 10.1109/TIFS.2014.2384391) was presented to address this issue. Unfortunately, there is a security defect in this protocol, as we demonstrate in this paper. Specifically, a dishonest cloud storage provider can store an aggregation of all data copies instead of each replica itself without being detected by an auditor. Accordingly, we suggest a solution to resolve the problem while preserving all the properties of the original protocol.

关键词Cloud storage Multi-replica Public auditing
DOI10.1007/978-3-030-05234-8_23
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语种英语English
Scopus入藏号2-s2.0-85059671960
引用统计
被引频次[WOS]:0   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/7195
专题个人在本单位外知识产出
通讯作者Tian,Hui
作者单位
1.Network Technology Center,National Huaqiao University,Xiamen,361021,China
2.College of Computer Science and Technology,National Huaqiao University,Xiamen,361021,China
推荐引用方式
GB/T 7714
Lu,Jing,Chen,Yuxiang,Tian,Huiet al. Improving the security of a public auditing scheme for multiple-replica dynamic data[C], 2018: 185-191.
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