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题名Enabling public auditability for operation behaviors in cloud storage
作者
发表日期2017-04-01
发表期刊Soft Computing
ISSN/eISSN1432-7643
卷号21期号:8页码:2175-2187
摘要

In this paper, we focus on auditing for users’ operation behaviors, which is significant for the avoidance of potential crimes in the cloud and equitable accountability determination in the forensic. We first present a public model for operation behaviors in cloud storage, in which a trusted third party is introduced to verify the integrity of operation behavior logs to enhance the credibility of forensic results as well as alleviate the burden of the forensic investigator. Further, we design a block-based logging approach to support selective verification and a hash-chain-based structure for each log block to ensure the forward security and append-only properties for log entries. Moreover, to achieve the tamper resistance of log blocks and non-repudiation of auditing proofs, we employ Merkle hash tree (MHT) to record the hash values of the aggregation authentication block tags sequentially and publish the root of MHT to the public once a block has been appended. Meanwhile, using the authentication property of MHT, our scheme can provide log-less verification with privacy preservation. We formally prove the security of the proposed scheme and evaluate its performance on entry appending and verification by concrete experiments and comparisons with the state-of-the-art schemes. The results demonstrate that the proposed scheme can effectively achieve secure auditing for log files of operation behaviors in cloud storage and outperforms the previous ones in computation complexity and communication overhead.

关键词Cloud storage Merkle hash tree Operation behaviors Public auditing Secure logging
DOI10.1007/s00500-016-2311-y
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收录类别SCIE
语种英语English
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Interdisciplinary Applications
WOS记录号WOS:000399171800019
Scopus入藏号2-s2.0-84981531630
引用统计
被引频次:13[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/7232
专题个人在本单位外知识产出
通讯作者Tian, Hui
作者单位
1.College of Computer Science and Technology, National Huaqiao University, Xiamen, 361021, Chinac
2.Department of Information Engineering and Computer Science, Feng Chia University, Taichung, 40724, Taiwan, China
3.Graduate School of Natural Science and Technology, Okayama University, Okayama, 700-8530, Japan
4.Department of Electronic Engineering,Tsinghua University,Beijing,100084,China
推荐引用方式
GB/T 7714
Tian, Hui,Chen, Zhaoyi,Chang, Chin Chenet al. Enabling public auditability for operation behaviors in cloud storage[J]. Soft Computing, 2017, 21(8): 2175-2187.
APA Tian, Hui., Chen, Zhaoyi., Chang, Chin Chen., Kuribayashi, Minoru., Huang, Yongfeng., .. & Wang, Tian. (2017). Enabling public auditability for operation behaviors in cloud storage. Soft Computing, 21(8), 2175-2187.
MLA Tian, Hui,et al."Enabling public auditability for operation behaviors in cloud storage". Soft Computing 21.8(2017): 2175-2187.
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