Analysis of methods for detecting network intrusion and anomalies

This article is devoted to the analysis of various methods for detecting network intrusions and anomalies. A full analysis of the most famous methods for detecting and classifying network attacks and anomalies is carried out, a more generalized classification scheme for these methods is derived. A more detailed analysis of groups of methods such as behavioral, machine learning, computational intelligence, and knowledge-based methods is carried out.