Risk Analysis and Establishment of Supervision System of Internet Finance Based on Big Data Era

Abstract

The benefits of Internet finance, such as its speed, transparency, and efficiency, have caused conventional financial institutions to rethink their business models and have led to its tremendous growth in recent years. However, as Internet finance continues to grow, new possibilities and threats are continuously developing. One of the most pressing concerns in the use of Internet technology for financial growth is how to properly identify and evaluate risks involved for Internet finance, as well as how to accurately anticipate such risks. Internet finance risk elements are examined thoroughly in this research, and a feasible solution to reduce Internet financial hazards is proposed. This paper completes the following work: (1) according to the collected sample data, the BP network is used as a big data mining analysis method to establish a financial risk assessment model. (2) The data is processed accordingly, and then based on the MATLAB program platform, the BP network numerical calculation is built to train the theoretical model, and the actual output and predicted output are obtained. (3) With the analysis results of data mining, this work has established a risk prevention and control supervision system. (4) This work has carried out various experiments on the designed method, and the results have verified the superiority of the method.