Identification of the computer system state based on multidimensional discriminant analysis

Abstract

The article considers the means of identification of the anomalous state of the computer systems information, their advantages and disadvantages. The analysis of modern decision-making systems is carried out. The system of Neural Network is chosen. The Capsule Networks module was developed and the developed system was tested. The obtained results of the research showed the possibility of using the developed module in heuristic analyzers of intrusion detection systems.