Dynamic Trust Evaluation Algorithm for Blockchain Empowered FinTech
Wanyi Feng, Hongwei Luo, Chengli Huang, Yueheng Liu, Baolin Sun · 2023
With the help of new technologies such as artificial intelligence, blockchain, cloud computing, and data science, financial technology (FinTech) has promoted the rapid application of the financial industry. Blockchain technology can better maintain the security and integrity of FinTech data and reduce the security risk of financial data. This paper proposes a dynamic trust evaluation algorithm for blockchain empowered FinTech (DTEBF). In the DTEBF algorithm, the blockchain is used to record the relevant data and trust evaluation in the process of block setting, which is conducive to the verification of the trust degree issued by the trust holder by the FinTech users and the safe and reliable transmission of FinTech data. The simulation experiment shows that DTEBF algorithm can better improve the security and reliable application of FinTech trust mechanism, and has advantages in improving the accuracy of trust calculation and potential applications.