基于标签分类的云数据完整性验证审计方案

doi:10.13229/j.cnki.jdxbgxb20200955

Abstract

Abstract:

With the development of cloud storage technology, more and more users store data to the cloud server in order to reduce the cost, but at the same time they lose the right to control the data, which leads to the fact that the integrity and security of cloud storage data cannot be ensured. To solve these problems, this paper proposes a security data integrity audit scheme based on fast tag query. Firstly, chaotic system is used to encrypt cloud storage data to ensure data confidentiality. Then, the Hash Value of the data block is used as the label to classify data blocks. In this paper, each leaf node of Merkle Hash Tree (MHT) corresponds to a label, and each label corresponds to multiple data blocks, which increases the speed of data query index. This scheme not only meets the security requirements of the cloud data storage integrity audit scheme, but also reduces the communication expenses of the audit process. The experimental results suggests that the scheme is safe and effective.

Key words: computer application technology, audit, cloud storage, Merkle Hash tree（MHT）, integrity check

CLC Number:

TP309

Chun-bo WANG,Xiao-qiang DI. Cloud storage integrity verification audit scheme based on label classification[J].Journal of Jilin University(Engineering and Technology Edition), 2021, 51(4): 1364-1369.

Figures/Tables 7

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	横坐标方向	纵坐标方向	对角方向
明文图像	0.9192	0.9834	0.9032
密文图像	-0.0033	0.0002	0.00111
文献［18］	0.00405	0.00302	0.00113

Cloud storage integrity verification audit scheme based on label classification

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