Network security protection system based on machine learning algorithm

With the development of computer technology, network security has gradually become a topic of concern. Illegal intrusions such as network viruses and Trojan horses have caused massive property losses and brought enormous pressure to individuals. Therefore, it is necessary to study the network security protection system. This paper is based on machine learning, which is deeply explored with the purpose of improving the security of the network and protecting people's privacy. This paper mainly uses the experimental method and the comparative method to analyze the time-consuming of computer network data processing and its security protection ability. The experimental data show that the security performance of the system in this paper can reach up to 90.1%, which can guarantee the basic requirements.