Application of artificial neural networks for detecting anomalous behavior of users in data processing centers

Abstract

In the qualification work, a software product was designed and developed for the implementation of a system using artificial neural networks to detect anomalous behavior of data center users, based on the k-network technology. The aim of the study. Develop software to detect anomalous behavior of data center users using appropriate artificial neural network technologies, and develop an application to demonstrate the operation of network learning visually.