Network Information Security Risk Assessment Method Based on Machine Learning Algorithm

Abstract

The current computer network information security risk assessment methods have the problems of low assessment accuracy, which seriously restricts the assessment effect. In order to solve this problem and improve the effect of network information security risk assessment and the level of network information security, this paper designs a network information security risk assessment method based on network learning algorithm. Describe the risk calculation form, extract the performance characteristics of network information, identify the network risk factors, draw conclusions according to logical reasoning, adopt computer network risk control and defense measures, use machine learning algorithm to build a security system model, and optimize the security risk assessment mode. The experimental results prove that the highest accuracy rate of the network information security risk assessment method is 95.612%, indicating that the network information security risk assessment method is more practical after combining the machine learning algorithm.