Design of Financial Data Security Storage System for Public Institutions Based on Particle Swarm Optimization Algorithm

The safe storage of financial data of public institutions is a systematic project, which involves the internal management and control of institutions and relates to the development of national economy. Due to the continuous improvement of social informatization, rapid progress of science and technology, and rapid updating of new technologies, the traditional management model of public institutions in China has been unable to adapt to the requirements of the times for modern information processing. In this case, a new and efficient intelligent system with strong practicability and operability, which can meet the financial data security requirements of public institutions, is needed to solve this problem, so as to ensure the orderly and effective completion of all internal work of the unit and achieve the maximum benefit of resource utilization. Therefore, this paper first describes the importance of safe storage of financial data, then describes the design principles of storage system, and then studies the application process of particle swarm optimization algorithm. Based on this, a safe storage system is designed and its performance is tested. The test results show that the financial data security storage system of public institutions based on particle swarm optimization algorithm runs fast, the security data processing time is about 8 seconds, the system has a high fault tolerance and is compatible with hardware. This allows users to use the system safely and painlessly.