title: ÐÑÑÐ²Ð»ÐµÐ½Ð¸Ðµ ÑÐºÑÑÑÐµÐ¼Ð¸ÑÑÑÐºÐ¸Ñ ÑÐ¾Ð¾Ð±ÑÐµÐ½Ð¸Ð¹ Ð² ÑÐ¾ÑÐ¸Ð°Ð»ÑÐ½ÑÑ ÑÐµÑÑÑ Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ Ð¸ÑÐºÑÑÑÑÐ²ÐµÐ½Ð½ÑÑ Ð¸Ð¼Ð¼ÑÐ½Ð½ÑÑ ÑÐ¸ÑÑÐµÐ¼
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: Identification of extremist messages in social networks using artificial immune systems
Creators: name: ÐÑÐ°Ð²ÑÑÐº, 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: 2021
Subjects: ÐÐ½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ð¾Ð½Ð½ÑÐµ ÑÐµÑ Ð½Ð¾Ð»Ð¾Ð³Ð¸Ð¸
ÐºÐ¸Ð±ÐµÑÐ±ÐµÐ·Ð¾Ð¿Ð°ÑÐ½Ð¾ÑÑÑ
Ð¿ÑÐµÐ´Ð¾ÑÐ²ÑÐ°ÑÐµÐ½Ð¸Ðµ ÑÐºÑÑÑÐµÐ¼Ð¸Ð·Ð¼Ð°
ÑÐµÐ¾ÑÐ¸Ñ Ð¾Ð¿Ð°ÑÐ½Ð¾ÑÑÐ¸
ÑÐ¾ÑÐ¸Ð°Ð»ÑÐ½ÑÐµ ÑÐµÑÐ¸
cybersecurity
prevention of extremism
danger theory
social networks

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description: This work is devoted to the construction of an artificial immune system using the principles of the theory of danger. The aim of this thesis is to prevent the spread of extremist messages on social networks using artificial immune systems. In the course of the work, the following tasks were solved: 1. The peculiarities of building artificial immune systems have been analyzed. 2. The existing models of artificial immune systems have been analyzed. 3. An artificial immune system has been developed in relation to the task of identifying extremist messages in social networks. 4. The developed system is compared with existing solutions in this area. As a result of the work, a prototype of an artificial immune system was implemented, using a cascade principle of constructing detectors, borrowed from the theory of danger. The quality assessment of the implemented system showed high accuracy values (97.58%). A comparison was also made with other systems used to solve the problem of preventing extremism, during which the advantage of the developed system was revealed in the accuracy of work, which indicates the suitability of using the system in real social networks to solve the problem of preventing extremism.