title: ÐÐ±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ðµ Ð½ÐµÑÐ°Ð½ÐºÑÐ¸Ð¾Ð½Ð¸ÑÐ¾Ð²Ð°Ð½Ð½ÑÑ ÐºÐ°Ð½Ð°Ð»Ð¾Ð² ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ ÑÐ·Ð»Ð°Ð¼Ð¸ ÐºÐ¾Ð¼Ð¿ÑÑÑÐµÑÐ½Ð¾Ð¹ ÑÐµÑÐ¸
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° ÑÐ¿ÐµÑÐ¸Ð°Ð»Ð¸ÑÑÐ°
titleType: Subtitle
title: Detection of unauthorized channels of control of the nodes of computer network
Creators: name: ÐÑÐµÑÐ¾Ð², ÐÐ²Ð°Ð½
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: 2023
Subjects: ÐÐ½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ñ
ÑÐ´Ð°Ð»ÐµÐ½Ð½ÑÐµ ÑÐ¿ÑÐ°Ð²Ð»ÑÑÑÐ¸Ðµ ÑÐ¾ÐµÐ´Ð¸Ð½ÐµÐ½Ð¸Ñ
ÑÐµÑÐµÐ²Ð¾Ð¹ ÑÑÐ°ÑÐ¸Ðº
ÑÑÐµÐ´ÑÑÐ²Ð° Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ñ Ð²ÑÐ¾ÑÐ¶ÐµÐ½Ð¸Ð¹
remote control connections
network traffic
intrusion detection systems

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description: The topic of the graduate qualification work is Â«Detection of unauthorized channels of control of the nodes of computer networkÂ». The purpose of the study is development of method of detection of unauthorized channels of control of the nodes of computer network. The subject of the work is detection of unauthorized channels of control of the nodes of computer network. The research set the following goals: To determine features of programs, which allow to establish remote control connections with the nodes of computer network. To determine restrictions of the existing means of protection. To develop a method of detection of unauthorized channels of control of the nodes of computer network. During the work programs and protocols, which allow to establish remote control connections with the nodes of computer network were analyzed. The analyzing programs were categorized by the hardness of detection, the restrictions of existing means of protection were determined. The work resulted in development of a method of detection of remote control connections, which allows to detect unauthorized channels of control of the nodes of computer network. The developed method was compared with the popular intrusion detection systems, the effectiveness of the method was demonstrated. The restrictions of the developed method were also determined.Â The results could be used for integration into existing intrusion detection systems for improving the quality of detection of unauthorized channels of control of the nodes of the computer network.