Application of BP Neural Network Algorithm in Network Security Evaluation System

With the further development of network technology, the issue of network security has become an important factor affecting national development strategy and social economic development. However, faced with the increasingly complex network structure and huge scale, especially the new means of using the security weaknesses of various systems to attack, many weaknesses are widely used by intruders, network information systems are facing increasingly serious threats and security risks. This paper mainly studies the application of BP neural network algorithm in network security evaluation system. Firstly, this paper constructs a BP neural network model for the application of network security evaluation, and uses BP neural network model to build a network security evaluation system. At the end of this paper, the function test and performance test of the network security evaluation system are carried out. From the test results, it can be seen that the system functions normally and the packet loss rate is 0.005% when the number of concurrent users of the system is 2000, which can meet the daily use requirements.