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Analysis of Safe Storage of Network Information Data and Financial Risks Under Blockchain Combined With Edge Computing

Analysis of Safe Storage of Network Information Data and Financial Risks Under Blockchain Combined With Edge Computing

Xiao Liang, Wenxi Ruan, Zheng Xu, Ji Liu
Copyright: © 2022 |Volume: 30 |Issue: 11 |Pages: 20
ISSN: 1062-7375|EISSN: 1533-7995|EISBN13: 9781668464434|DOI: 10.4018/JGIM.312580
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MLA

Liang, Xiao, et al. "Analysis of Safe Storage of Network Information Data and Financial Risks Under Blockchain Combined With Edge Computing." JGIM vol.30, no.11 2022: pp.1-20. http://doi.org/10.4018/JGIM.312580

APA

Liang, X., Ruan, W., Xu, Z., & Liu, J. (2022). Analysis of Safe Storage of Network Information Data and Financial Risks Under Blockchain Combined With Edge Computing. Journal of Global Information Management (JGIM), 30(11), 1-20. http://doi.org/10.4018/JGIM.312580

Chicago

Liang, Xiao, et al. "Analysis of Safe Storage of Network Information Data and Financial Risks Under Blockchain Combined With Edge Computing," Journal of Global Information Management (JGIM) 30, no.11: 1-20. http://doi.org/10.4018/JGIM.312580

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Abstract

To discuss the control of financial risks (FRs) under blockchain (BC) and improve network information security (NIS) and data security, edge computing (EC) combined with BC is proposed to control the risks of the big data (BD) financial system. Firstly, the BC-based financial system is introduced, and the characteristics of BC such as decentralization, tamper-resistant, and smart contract are analyzed. Secondly, the development status of NIS and the characteristics of marginal computing are explained, and the control model of NIS is established. Then, EC is used to encrypt the identity authentication system to ensure data security, and the BC-based FR evaluation model is established. Finally, a questionnaire is designed regarding the NIS model, and the results are analyzed. A simulation experiment is conducted regarding the index evaluation of the BC-based FR evaluation model. The experimental results indicate that network personnel control, environment, and technology have positive effects on NIS, and the impact factors are 0.26, 0.24, and 0.33, respectively.