MATEC Web Conf.
Volume 336, 20212020 2nd International Conference on Computer Science Communication and Network Security (CSCNS2020)
|Number of page(s)||4|
|Section||Network and Information Security|
|Published online||15 February 2021|
An improved data integrity validation model for cloud storage
Guangxi University, Nanning, Guangxi Zhuang Autonomous Region, China
* Corresponding author: email@example.com
Data integrity validation is considered to be an important tool to solve the problem that cloud subscribers cannot accurately know whether there are non-subjective changes in the data they upload to cloud servers. In this paper, a data integrity verification model based on dynamic successor tree index structure, Bloom filter and Merkle tree is proposed. The block labels generated according to the features of the dynamic successor tree index structure can sense whether changes have been made to the user's data, while the Merkle tree can track the cha*nged data blocks, enabling the user to effectively verify the integrity of the data stored in the cloud server and provide more effective protection for data.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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