Application of artificial intelligence for network traffic analysis

The article discusses ways to use artificial intelligence to analyze network traffic. The advantage of using deep machine learning to analyze network traffic is its ability to process large amounts of data and discover patterns. The use of neural networks in the analysis of network security includes such stages of work as: anomaly detection, traffic classification and attack identification. Artificial intelligence and neural networks in particular are able to learn using data for development from network traffic, based on the pattern of some identified features. The deep learning process needs to be controlled, because if this data is not enough for training, then in the end it can be problematic to track the logic of actions and the reason for some conclusions.