Financial data Security Protection System Based on Improved Random Forest Algorithm

In order to enhance the security of the database, the database system should be protected according to the characteristics of the database system to ensure the security of the database. The database is a collection of data logic, and the data between different sites have strict constraint rules, which makes the security of financial data more important. Today’s society has seen many hacking events, these data and information leakage events are all warning people to improve the security protection of financial data. In order to solve this problem, this paper discusses the financial data security protection system based on the improved random forest algorithm, firstly, the financial data security and random forest algorithm are carefully explained, and then it discusses how to construct the financial data security system based on the improved random forest algorithm, and experimentally verifies the high accuracy of this system in predicting the risk (the financial risk index in 2016 is only 0.2999 different from the actual risk index). 0.2999 difference).