Annotation: This paper presents the developed method for detecting anomalies in network traffic, which is based on the technology of hierarchical temporary memory. To evaluate the effectiveness of the proposed solution, a new data set was generated containing information about legitimate and malicious network sessions. As a result of experimental studies, it was found that the use of a hierarchy of features and support for the memory mechanism make it possible to reveal hidden patterns in the analyzed chains of network requests to web resources with high accuracy.

Keywords: network traffic analysis, web resource security, hierarchical temporary memory, anomaly detection, network attacks.