Please use this identifier to cite or link to this item: http://repositsc.nuczu.edu.ua/handle/123456789/10184
Title: Identification of the computer system state based on multidimensional discriminant analysis
Authors: Горносталь, Стелла Анатоліївна
Gavrylenko, Svetlana
Chelak, Viktor
Hornostal, Oleksii
Keywords: identification
computer system
malware
anomalous state
discriminant analysis
fuzzy variable.
Issue Date: Sep-2019
Publisher: Sozopol, Bulgaria
Citation: 29th International Scientific Symposium "METROLOGY AND METROLOGY ASSURANCE 2019"
Series/Report no.: ;P.192-196
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.
URI: http://repositsc.nuczu.edu.ua/handle/123456789/10184
ISBN: 978-7281-2212-0
Appears in Collections:Кафедра пожежної профілактики в населених пунктах

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