Network Security Optimization Method Based on Genetic Algorithm

Abstract

AbstractNowadays, the application of the Internet is more and more extensive, but also exposed many problems. Network attacks are gradually penetrating into all kinds of network terminals, and the attack means are more and more sophisticated and covert. Network paralysis, data and user information leakage and other security problems are increasingly prominent. The increasingly dangerous network security situation brings new challenges to the traditional single point and single source security defense system. At the same time, the network crime has caused more and more losses to the personal and property safety of the state, enterprises and citizens. Network security has become the most concerned problem of citizens. In order to clarify the influence of different factors on computer network security, construct effective solutions, and create a more secure environment for the development and expansion of network information technology, this paper analyzes the factors affecting computer network information security based on genetic algorithm, and proposes a BP neural network algorithm based on genetic algorithm optimization, which is used in network security optimization. The experimental results show that the accuracy of BP neural network algorithm optimized by genetic algorithm is as high as 86.5%. The combination of genetic algorithm and neural network can effectively improve the reliability of the network.KeywordsGenetic algorithmComputerNetwork securityApplication research