Blockchain Data Privacy Protection Mechanism for Enterprise Finance and Data Mining Algorithms

Authors

  • Xuejun Ma School of Economics and Management, Weifang University, Weifang 261061, Shandong, China
  • Yongshan Zhang School of Economics and Management, Weifang University of Science and Technology, Shouguang 262700, Shandong, China

Abstract

The establishment of a data privacy protection scheme that integrates information and public query is of great benefit to promoting the development of the financial aspects of a supply chain. Based on data encryption technology, this study adopted appropriate encryption methods for transaction information without changing the original consensus algorithm and verification mechanism of the blockchain, thus ensuring that attackers could not obtain transaction information in clear text form. This paper constructed a blockchain model for the financial data of enterprises, and achieved data sharing and visualization of enterprise asset management, asset securitization, and cross-border trade, thus ensuring that financial data was protected
in a timely manner. Data mining algorithms were used to select the optimal financial data privacy protection scheme from multiple potential suppliers of financial data. This study established 60 accounts for retailers, and the Bitcoin model established a total of 25 accounts for sales parties. This model is able establish new accounts for active retailers and block adjacent retailers, thereby better protecting the privacy of the financial data of retailers.

Keywords: Corporate finance, data mining algorithms, blockchain data, privacy protection

Cite As

X. Ma, Y. Zhang, "Blockchain Data Privacy Protection Mechanism for Enterprise Finance and
Data Mining Algorithms", Engineering Intelligent Systems, vol. 32 no. 5, pp. 435-443, 2024.






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Published

2024-09-01

Issue

Vol. 32 No. 5 (2024): International Journal of Engineering Intelligent Systems

Section

Article

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