title: ÐÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð¿Ð°ÑÐ°Ð¼ÐµÑÑÐ¾Ð² Ð³ÐµÐ½ÐµÑÐ¸ÑÐµÑÐºÐ¾Ð³Ð¾ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð° Ð´Ð»Ñ Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ñ ÑÐµÑÐµÐ²ÑÑ Ð°ÑÐ°Ðº
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Research of the parameters of a genetic algorithm for detecting 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: 2020
Subjects: ÑÐ¸ÑÑÐµÐ¼Ð° Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ñ Ð²ÑÐ¾ÑÐ¶ÐµÐ½Ð¸Ð¹
Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ðµ ÑÐµÑÐµÐ²ÑÑ Ð°ÑÐ°Ðº
Ð³ÐµÐ½ÐµÑÐ¸ÑÐµÑÐºÐ¸Ð¹ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼
weka
unsw-nb15
intrusion detection system
network attack detection
genetic algorithm

description: Ð ÑÐ°Ð±Ð¾ÑÐµ Ð¿ÑÐµÐ´ÑÑÐ°Ð²Ð»ÐµÐ½Ð¾ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð¿Ð°ÑÐ°Ð¼ÐµÑÑÐ¾Ð² Ð³ÐµÐ½ÐµÑÐ¸ÑÐµÑÐºÐ¾Ð³Ð¾ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð° Ð´Ð»Ñ Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ñ ÑÐµÑÐµÐ²ÑÑ Ð°ÑÐ°Ðº. ÐÑÐ¿Ð¾Ð»Ð½ÐµÐ½ Ð°Ð½Ð°Ð»Ð¸Ð· Ð¿Ð°ÑÐ°Ð¼ÐµÑÑÐ¾Ð² Ð´Ð»Ñ ÐºÐ°Ð¶Ð´Ð¾Ð³Ð¾ ÐºÐ»Ð°ÑÑÐ° Ð°ÑÐ°Ðº Ð² Ð½Ð°Ð±Ð¾ÑÐµ Ð´Ð°Ð½Ð½ÑÑ UNSW-NB15 Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ ÑÑÐµÐ´ÑÑÐ² Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ. Ð ÑÐ°Ð±Ð¾ÑÐµ ÑÐ°ÑÑÐ¼Ð°ÑÑÐ¸Ð²Ð°ÐµÑÑÑ Ð¿ÑÐ¾Ð±Ð»ÐµÐ¼Ð° Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ñ ÑÐµÑÐµÐ²ÑÑ Ð²ÑÐ¾ÑÐ¶ÐµÐ½Ð¸Ð¹ Ð¸ Ð¾ÑÐ½Ð¾Ð²Ð½ÑÐµ ÐºÐ»Ð°ÑÑÑ Ð°ÑÐ°Ðº, Ð¸ÑÐ¿Ð¾Ð»ÑÐ·ÑÐµÐ¼ÑÐµ Ð² Ð²ÑÐ±ÑÐ°Ð½Ð½Ð¾Ð¼ Ð½Ð°Ð±Ð¾ÑÐµ Ð´Ð°Ð½Ð½ÑÑ. ÐÑÐ¸Ð²Ð¾Ð´ÑÑÑÑ Ð¼ÐµÑÐ¾Ð´Ñ Ð¿Ð¾ÑÑÑÐ¾ÐµÐ½Ð¸Ñ ÑÐ¸ÑÑÐµÐ¼ Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ñ Ð²ÑÐ¾ÑÐ¶ÐµÐ½Ð¸Ð¹, Ð¼Ð¾Ð´ÐµÐ»Ð¸, Ð»ÐµÐ¶Ð°ÑÐ¸Ðµ Ð² Ð¸Ñ Ð¾ÑÐ½Ð¾Ð²Ðµ, Ð° ÑÐ°ÐºÐ¶Ðµ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ñ. Ð¡ÑÐµÐ´Ð¸ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð² Ð¿Ð¾Ð´ÑÐ¾Ð±Ð½Ð¾ ÑÐ°ÑÑÐ¼Ð¾ÑÑÐµÐ½ Ð³ÐµÐ½ÐµÑÐ¸ÑÐµÑÐºÐ¸Ð¹ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼, ÐµÐ³Ð¾ Ð¼ÐµÑÐ¾Ð´Ñ Ð¾ÑÐ±Ð¾ÑÐ°, Ð¼ÑÑÐ°ÑÐ¸Ð¸ Ð¸ ÑÐºÑÐµÑÐ¸Ð²Ð°Ð½Ð¸Ñ Ð¾ÑÐ¾Ð±ÐµÐ¹. ÐÐ½Ð°Ð»Ð¸Ð· ÐµÐ³Ð¾ Ð¿Ð°ÑÐ°Ð¼ÐµÑÑÐ¾Ð² Ð¿Ð¾Ð·Ð²Ð¾Ð»Ð¸Ð» ÑÑÐ¾ÑÐ¼ÑÐ»Ð¸ÑÐ¾Ð²Ð°ÑÑ Ð¿Ð¾Ð´ÑÐ¾Ð´ Ðº Ð²ÑÐ±Ð¾ÑÑ Ð¿Ð°ÑÐ°Ð¼ÐµÑÑÐ¾Ð² Ð´Ð»Ñ ÑÐ°Ð·Ð»Ð¸ÑÐ½ÑÑ ÐºÐ»Ð°ÑÑÐ¾Ð² Ð°ÑÐ°Ðº. ÐÑÐ¾Ð²ÐµÐ´ÐµÐ½ Ð°Ð½Ð°Ð»Ð¸Ð· Ñ Ð´ÑÑÐ³Ð¸Ð¼Ð¸ Ð´Ð¾ÑÑÑÐ¿Ð½ÑÐ¼Ð¸ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½ÑÐ¼Ð¸ ÑÑÐµÐ´ÑÑÐ²Ð°Ð¼Ð¸ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ, Ð²ÑÐ´ÐµÐ»ÐµÐ½Ñ Ð´Ð¾ÑÑÐ¾Ð¸Ð½ÑÑÐ²Ð° Ð¸ÑÐ¿Ð¾Ð»ÑÐ·ÑÐµÐ¼Ð¾Ð¹ ÑÐ¸ÑÑÐµÐ¼Ñ Weka. Ð Ð°ÑÑÐ¼Ð¾ÑÑÐµÐ½ Ð½Ð°Ð±Ð¾Ñ Ð´Ð°Ð½Ð½ÑÑ Ð¸ Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð¾ ÐµÐ³Ð¾ ÑÑÐ°Ð²Ð½ÐµÐ½Ð¸Ðµ Ñ Ð´ÑÑÐ³Ð¸Ð¼ Ð¿Ð¾Ð¿ÑÐ»ÑÑÐ½ÑÐ¼ Ð½Ð°Ð±Ð¾ÑÐ¾Ð¼ KDD99, Ð¿ÑÐ¸Ð²ÐµÐ´ÐµÐ½Ñ Ð´Ð¾Ð²Ð¾Ð´Ñ Ð²ÑÐ±Ð¾ÑÐ° Ð² Ð¿Ð¾Ð»ÑÐ·Ñ UNSW-NB15. ÐÐ¾Ð¼Ð¸Ð¼Ð¾ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ Ð¿Ð°ÑÐ°Ð¼ÐµÑÑÐ¾Ð² Ð³ÐµÐ½ÐµÑÐ¸ÑÐµÑÐºÐ¾Ð³Ð¾ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð° Ð½Ð° Ð²ÑÐ±ÑÐ°Ð½Ð½Ð¾Ð¼ Ð½Ð°Ð±Ð¾ÑÐµ Ð´Ð°Ð½Ð½ÑÑ, Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½ Ð°Ð½Ð°Ð»Ð¸Ð· Ð·Ð°ÑÑÐ±ÐµÐ¶Ð½ÑÑ ÑÐ°Ð±Ð¾Ñ Ð¸ Ð¸Ñ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ¾Ð². ÐÑ Ð²ÑÐ²Ð¾Ð´Ñ Ð½Ð°ÑÐ»Ð¸ Ð¾ÑÑÐ°Ð¶ÐµÐ½Ð¸Ðµ Ð² Ð´Ð°Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÐµ.
description: In this work presents a research of the parameters of the genetic algorithm for detecting network attacks. There performed analysis of parameters for each class of attacks in the UNSW-NB15 data set using machine learning tools. The work raises the problem of detecting network intrusions. Accordingly, the main attack classes used in the selected data set, methods for constructing intrusion detection systems, the models underlying them, and algorithms are considered. Among the algorithms, the genetic algorithm, its methods for selecting, mutating and crossing individuals are examined in detail. By defining its parameters, an approach is built to construct a choice of parameters for various classes of attacks. An analysis was also carried out with other available software tools for machine learning, highlighted the advantages of the Weka system used. The following is a set of data and its comparison with another popular set of KDD99, the reasons for choosing UNSW-NB15 are given. In addition to studying the parameters of the genetic algorithm on the selected data set, an analysis of foreign works and their results is carried out. Their findings are reflected in this work.