Survey of Research on Network Security Situation Awareness Technology Based on Machine Learning

As the development of progress of the cyberization, the networking environment is becoming increasingly complex. Therefore, normal passive defense technology has been unable to meet the need for basic cybersecurity. Nowadays, network security situational awareness active defense technology based on machine learning has become one of the key research topics in the field of cybersecurity. According to the model classification, three types of techniques will be discussed separately situation analysis of network security based on improved SKNet-SVM, network security situation assessment based on GA-Light and network security situation prediction based on Radial Basis Function neural network, draw schematic diagrams for these three types of technologies based on the literature, explain the workflow of these three types of technologies through schematic diagrams and the advantages and disadvantages of the three will be summarized. In the end, the current flaws in the field and will be analyzed. Meanwhile, suggestions for future development directions will be provided.