RESEARCH OF INTERNET TRAFFIC ANALYSIS METHODS
Internet traffic analysis is one of the most popular areas of study and research, primarily due to its usefulness for many Internet applications, as it solves the problem of classifying Internet traffic. The purpose of this article is to review technologies for classifying and predicting Internet traffic using various machine learning methods. The article also mentions the importance of using tree method of decision-making in the field of traffic classification. This research area is extremely relevant due to the high growth rate of the Internet of things technology, which is why the number of Internet addresses and the amount of traffic that needs to be identified is growing rapidly. The results of the study indicate the best practices used in the methods of Internet traffic analysis, which provides a direction for the development of methods for classifying Internet traffic.