Machine Learning for Traffic Analysis: A Review

Traffic analysis has many purposes such as evaluating the performance and security of network operations and management. Therefore, network traffic analysis is considered vital for improving networks operation and security. This paper discusses different machine learning approaches for traffic analysis. Increased network traffic and the development of artificial intelligence require new ways to detect intrusions, analyze malware behavior, and categorize Internet traffic and other security aspects. Machine learning (ML) shows effective capabilities in solving network problems. A review of the techniques used in the traffic analysis is presented in this paper.