Technology of Information Security
|
1148-1152

Data auditing method based on relative index hash tree in cloud environment

Li Mengting
Zhou Anning
Guangdong University of Foreign Studies, Guangzhou 510006, China

Abstract

To ensure the cloud environment outsourcing data from tampering, and improve the efficiency of data integrity audit, this paper proposed a data audit method based on relative index-Merkle hash tree(RIMHT). Firstly, it modified each node of the classic MHT to store two information, that was data block hash value and the relative index value of node. To reduce the computation cost of data block search, it integrated the relative index of MHT with the node. Then, by adding the last modification time of the data, it ensured the freshness of the data. The experimental results verify the effectiveness of the proposed method. Compared with other similar methods, the proposed method has some advantages in terms of computational cost, communication cost and storage cost. And it is possible to detect the improper operation of the server with higher probability.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.11.1002
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 4
Section: Technology of Information Security
Pages: 1148-1152
Serial Number: 1001-3695(2019)04-042-1148-05

Publish History

[2019-04-05] Printed Article

Cite This Article

李孟庭, 周安宁. 云环境中基于相对索引散列树的数据审核方法 [J]. 计算机应用研究, 2019, 36 (4): 1148-1152. (Li Mengting, Zhou Anning. Data auditing method based on relative index hash tree in cloud environment [J]. Application Research of Computers, 2019, 36 (4): 1148-1152. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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