Simulation of Computer Network Information Security Assessment Model Based on Data Mining

With the continuous growth of scie & tech, network technology has been widely used, which has brought great convenience to people's life and work. However, the rapid improvement of network technology has also given network viruses an opportunity, which has caused harm to the information security of computer users. In order to improve the adaptability to the network environment, it is more effective to use data mining (DM) to prevent and control viruses. Through the use of this technology, the control effect of network security management can be improved, and the effective support for the later network security development can be realized. This article will discuss the related modes of DM, study the practical application of DM to computer network virus defense, and build a computer network information security assessment model based on DM. The simulation results show that the proposed model can achieve a recall rate of 94.8% and an accuracy rate of 95.5%, both of which are better than the random forest model. DM has been effectively applied in the stage of protecting computer network virus, which greatly improves the security of computer network system, and then ensures the stability of computer system operation.