Construction and Application of Machine Learning Model in Network Intrusion Detection

Abstract

The modeling of network intrusion detection is an important network security protection technology. The current network intrusion detection model can not accurately describe the intrusion behavior, resulting in incomplete network intrusion detection. Therefore, a network intrusion detection model based on machine learning algorithm was designed. In addition, support vector machine (SVM) fits the mapping relationship between network intrusion detection characteristics and network intrusion behavior, and established a network intrusion detection model that reflected the relationship between the two aspects. Finally, the experimental results showed that the model not only can accurately identify the network intrusion behavior, but also has a very fast detection speed. It has obtained better network intrusion detection results than other models, and had a wide application prospect. Keywords-Network Intrusion Detection; Machine Learning; SVM; Network Security