Title: The dynamic and secure storage of enterprise financial data based on cloud platform

Authors: Li Zhang

Addresses: Department of Accounting, Chongqing College of Finance and Economics, Chongqing 402160, China

Abstract: In order to overcome the problems of poor data security, low integrity and long storage time of traditional methods, this paper proposes a dynamic and secure storage method of enterprise financial data based on cloud platform. Firstly, the absolute correlation degree of the data in the financial database is calculated by using the grey correlation analysis method, and the data mining and clustering are carried out according to the results of the absolute correlation degree calculation. Then, the DES algorithm is used to encrypt the clustering results of financial data and remove redundant data. Finally, according to the cloud platform access time length, access frequency, and the relationship between enterprise financial datasets, the data dynamic security storage is achieved. Experimental results show that this method can encrypt all data, the average integrity of the storage results is 9.7, the average storage time is 0.51 s, and the practical application effect is good.

Keywords: cloud platform; corporate financial data; dynamic security storage; absolute correlation degree; DES algorithm.

DOI: 10.1504/IJCIS.2023.133285

International Journal of Critical Infrastructures, 2023 Vol.19 No.5, pp.449 - 462

Received: 16 Aug 2021
Accepted: 04 Oct 2021
Published online: 11 Sep 2023 *

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