Analytical Review of Classification and Clustering Methods of Cyber Attacks Based on Data Mining and Neural Network Approach

This article provides an overview and analysis of methods of classification and clustering of cyber attacks, as well as their advantages and disadvantages. The purpose of this work is to provide an overview of the methods of classification and clustering of cyber attacks and to analyze their effecti...

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Главные авторы:	Fedina, A. D., Федина, А. Д., Lutsenko, V. V., Луценко, В. В., Gladkova, N. A., Гладкова, Н. А.
Формат:	Статья
Язык:	English
Опубликовано:	Springer Science and Business Media Deutschland GmbH 2024
Темы:	Classification Data mining Clustering Cyber attack Cyber security Neural networks
Online-ссылка:	https://dspace.ncfu.ru/handle/123456789/29179
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spelling	ir-123456789-291792024-10-30T14:31:41Z Analytical Review of Classification and Clustering Methods of Cyber Attacks Based on Data Mining and Neural Network Approach Fedina, A. D. Федина, А. Д. Lutsenko, V. V. Луценко, В. В. Gladkova, N. A. Гладкова, Н. А. Classification Data mining Clustering Cyber attack Cyber security Neural networks This article provides an overview and analysis of methods of classification and clustering of cyber attacks, as well as their advantages and disadvantages. The purpose of this work is to provide an overview of the methods of classification and clustering of cyber attacks and to analyze their effectiveness in various conditions. The article discusses the main problems associated with the classification and clustering of cyber attacks, such as data uncertainty and complexity of objects. The results of the analysis show that classification and clustering methods are important tools for detecting and preventing cyber attacks. However, in order to achieve the best results, it is necessary to take into account the specifics of each method and apply them according to specific conditions. 2024-10-30T14:30:17Z 2024-10-30T14:30:17Z 2024 Статья Fedina A., Lutsenko V., Gladkova N. Analytical Review of Classification and Clustering Methods of Cyber Attacks Based on Data Mining and Neural Network Approach // Lecture Notes in Networks and Systems. - 2024. - 1044 LNNS. - pp. 285 - 294. - DOI: 10.1007/978-3-031-64010-0_26 https://dspace.ncfu.ru/handle/123456789/29179 en Lecture Notes in Networks and Systems application/pdf Springer Science and Business Media Deutschland GmbH
institution	СКФУ
collection	Репозиторий
language	English
topic	Classification Data mining Clustering Cyber attack Cyber security Neural networks
spellingShingle	Classification Data mining Clustering Cyber attack Cyber security Neural networks Fedina, A. D. Федина, А. Д. Lutsenko, V. V. Луценко, В. В. Gladkova, N. A. Гладкова, Н. А. Analytical Review of Classification and Clustering Methods of Cyber Attacks Based on Data Mining and Neural Network Approach
description	This article provides an overview and analysis of methods of classification and clustering of cyber attacks, as well as their advantages and disadvantages. The purpose of this work is to provide an overview of the methods of classification and clustering of cyber attacks and to analyze their effectiveness in various conditions. The article discusses the main problems associated with the classification and clustering of cyber attacks, such as data uncertainty and complexity of objects. The results of the analysis show that classification and clustering methods are important tools for detecting and preventing cyber attacks. However, in order to achieve the best results, it is necessary to take into account the specifics of each method and apply them according to specific conditions.
format	Статья
author	Fedina, A. D. Федина, А. Д. Lutsenko, V. V. Луценко, В. В. Gladkova, N. A. Гладкова, Н. А.
author_facet	Fedina, A. D. Федина, А. Д. Lutsenko, V. V. Луценко, В. В. Gladkova, N. A. Гладкова, Н. А.
author_sort	Fedina, A. D.
title	Analytical Review of Classification and Clustering Methods of Cyber Attacks Based on Data Mining and Neural Network Approach
title_short	Analytical Review of Classification and Clustering Methods of Cyber Attacks Based on Data Mining and Neural Network Approach
title_full	Analytical Review of Classification and Clustering Methods of Cyber Attacks Based on Data Mining and Neural Network Approach
title_fullStr	Analytical Review of Classification and Clustering Methods of Cyber Attacks Based on Data Mining and Neural Network Approach
title_full_unstemmed	Analytical Review of Classification and Clustering Methods of Cyber Attacks Based on Data Mining and Neural Network Approach
title_sort	analytical review of classification and clustering methods of cyber attacks based on data mining and neural network approach
publisher	Springer Science and Business Media Deutschland GmbH
publishDate	2024
url	https://dspace.ncfu.ru/handle/123456789/29179
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Analytical Review of Classification and Clustering Methods of Cyber Attacks Based on Data Mining and Neural Network Approach

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