A Secure Storage System for Financial Data based on Fuzzy Recognition Algorithms

This electronic document is a "live" template and already defines the coThe purpose of this paper is to develop a secure storage system for financial data based on fuzzy recognition algorithm to improve the security, accuracy and reliability of financial data and its applications. The system adopts the fuzzy C-means clustering algorithm to carry out intelligent analysis and processing of financial data. This paper begins to carry out specific research on the part of algorithm selection and algorithm implementation, and elaborates on the whole process, so as to explain the algorithm clearly and provide support for its subsequent application. The system test results show that the data encryption method and strict access control mechanism are used to ensure the security of data and the system has excellent performance in terms of data storage performance, encryption and decryption speed, API response time and system availability, throughput and error rate, etc., which can effectively meet the needs of safe, reliable and efficient financial data storage and management.