Computer network security situation assessment based on convolutional neural networks

With the rapid development of computer network, the problem of network security is becoming increasingly prominent. In this paper, a method of computer network security situation assessment based on convolutional neural network (CNN) is proposed. By constructing a convolutional neural network model, the feature extraction and learning of network security data are carried out to achieve an accurate assessment of network security situation. The effectiveness and accuracy of this method are verified by training and testing a large number of network security data. The research of this paper provides a new way of thinking and method for computer network security situation assessment, which has certain theoretical and practical significance.