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titleType: Subtitle
title: Research of significant parameters of the genetic algorithm to detect network attacks
Creators: name: ÐÐ»Ð¸Ð¼Ð³ÑÐ»Ð¾Ð²Ð°, ÐÐ»Ð¸Ð½Ð°
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2022
Subjects: ÐÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸
ÐÐ»Ð³Ð¾ÑÐ¸ÑÐ¼Ñ
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principal component analysis

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description: The topic of the graduate qualification work is Â«Research of significant parameters of the genetic algorithm to detect network attacksÂ». The purpose of the study is to analyze the parameters of the genetic algorithm for detecting network attacks. The subject of the work is the parameters of the genetic algorithm for detecting attacks. The research set the following goals: Analysis of the parameters of the genetic algorithm. Determination of the most significant parameters. Development of a prototype. Modeling and analysis of results. During the work the principles of the genetic algorithm and neural networks were investigated, the principal component analysis and various methods during data preparation were also considered. As a result of the work prototype was developed using neural network and genetic algorithm. The results can be used in the future to improve the detection of network attacks. Neural network and genetic algorithm are powerful tool for detecting.