Read the full-text of this article for free

Title: An identification method of enterprise financial information transparency based on blockchain

Authors: Yanyan Cao; Xinli Li

Addresses: Xinxiang Vocational and Technical College, Xinxiang, 453006, China ' Zhengzhou University of Aeronautics, Zhengzhou, 450046, China

Abstract: In order to overcome the problems of low financial information recall rate, low recognition accuracy, and long time in traditional methods, a new identification method of enterprise financial information transparency based on blockchain is proposed. Firstly, utilising the decentralised, tamper proof, and traceable features of blockchain technology, a financial information collection system is constructed from the data layer to the application layer; Secondly, key factors affecting the transparency of corporate financial information are screened through multiple linear regression models; Finally, a DCSVM classifier is introduced to overcome the non-differentiability issue of traditional support vector machines through convolutional smoothing loss functions, achieving efficient and accurate recognition of financial information transparency. The experimental results show that the proposed method has the highest enterprise financial information recall rate of 98.05%, the highest recognition accuracy rate of 98.52%, and the shortest recognition time of only 0.64s, with good application effect.

Keywords: blockchain; corporate financial information; transparency; recognition; multiple linear regression models; DCSVM.

DOI: 10.1504/IJBIDM.2026.154239

International Journal of Business Intelligence and Data Mining, 2026 Vol.28 No.9, pp.176 - 193

Received: 26 Dec 2025
Accepted: 13 Mar 2026
Published online: 17 Jun 2026 *