title: Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð¼ÐµÑÐ¾Ð´Ð° Ð¿Ð¾Ð¸ÑÐºÐ° Ð¸ Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ñ Ð±Ð¾ÑÐ¾Ð² (Ð²Ð¸ÑÑÑÐ°Ð»ÑÐ½ÑÑ Ð¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°ÑÐµÐ»ÐµÐ¹) Ð² ÑÐ¾ÑÐ¸Ð°Ð»ÑÐ½ÑÑ ÑÐµÑÑÑ
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Development of a method for searching and detecting bots (virtual users) in social networks
Creators: name: ÐÐµÐ»ÑÐºÐ¾Ð², Ð¢Ð¸Ð¼Ð¾ÑÐµÐ¹
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: Ð²Ð¸ÑÑÑÐ°Ð»ÑÐ½ÑÐµ Ð¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°ÑÐµÐ»Ð¸
Ð±Ð¾ÑÑ
ÑÐ¾ÑÐ¸Ð°Ð»ÑÐ½ÑÐµ ÑÐµÑÐ¸
Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ðµ Ð¾Ð±ÑÐ°Ð·Ð¾Ð²
virtual users
bots
social networks
machine learning
pattern recognition

description: ÐÑÐµÐ´Ð¼ÐµÑÐ¾Ð¼ Ð´Ð°Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÑ ÑÐ²Ð»ÑÐµÑÑÑ Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ðµ Ð²ÑÐµÐ´Ð¾Ð½Ð¾ÑÐ½ÑÑ Ð°ÐºÐºÐ°ÑÐ½ÑÐ¾Ð², Ð¿ÑÐ¸Ð½Ð°Ð´Ð»ÐµÐ¶Ð°ÑÐ¸Ñ Ð±Ð¾ÑÐ°Ð¼, Ð² Ð¾Ð±Ð»Ð°ÑÑÐ¸ Ð¸Ð½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ð¾Ð½Ð½Ð¾Ð¹ Ð±ÐµÐ·Ð¾Ð¿Ð°ÑÐ½Ð¾ÑÑÐ¸. Ð¦ÐµÐ»ÑÑ Ð²ÑÐ¿ÑÑÐºÐ½Ð¾Ð¹ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÑ ÑÐ²Ð»ÑÑÑÑÑ Ð°Ð½Ð°Ð»Ð¸Ð· ÑÑÑÐµÑÑÐ²ÑÑÑÐ¸Ñ ÑÑÐµÐ´ÑÑÐ² Ð±Ð¾ÑÑÐ±Ñ Ñ Ð±Ð¾ÑÐ°Ð¼Ð¸, Ð° ÑÐ°ÐºÐ¶Ðµ ÑÐ¾Ð·Ð´Ð°Ð½Ð¸Ðµ ÑÐ¾Ð±ÑÑÐ²ÐµÐ½Ð½Ð¾Ð³Ð¾ Ð¼ÐµÑÐ¾Ð´Ð° Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ñ Ð²Ð¸ÑÑÑÐ°Ð»ÑÐ½ÑÑ Ð¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°ÑÐµÐ»ÐµÐ¹ Ð² ÑÐ¾ÑÐ¸Ð°Ð»ÑÐ½ÑÑ ÑÐµÑÑÑ. ÐÑÐ»Ð¸ ÑÐ°Ð·Ð¾Ð±ÑÐ°Ð½Ñ Ð¾ÑÐ½Ð¾Ð²Ð½ÑÐµ ÑÑÑÐ°ÑÐµÐ³Ð¸Ð¸ Ð¿Ð¾Ð¸ÑÐºÐ° Ð¸ Ð¸Ð´ÐµÐ½ÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ Ð±Ð¾ÑÐ¾Ð², Ð° ÑÐ°ÐºÐ¶Ðµ ÑÑÐ¾Ð²ÐµÐ½Ñ Ð¸Ñ Ð¿ÑÐ¸Ð¼ÐµÐ½Ð¸Ð¼Ð¾ÑÑÐ¸. Ð ÐºÐ°ÑÐµÑÑÐ²Ðµ Ð¿ÑÐ¸Ð¼ÐµÑÐ¾Ð² Ð¿ÑÐ¾Ð´ÐµÐ¼Ð¾Ð½ÑÑÑÐ¸ÑÐ¾Ð²Ð°Ð½Ñ Ð¾ÑÐ´ÐµÐ»ÑÐ½ÑÐµ Ð¿ÑÐ¸Ð»Ð¾Ð¶ÐµÐ½Ð¸Ñ-Ð°Ð½Ð°Ð»Ð¾Ð³Ð¸, ÑÐµÐ°Ð»Ð¸Ð·ÑÑÑÐ¸Ðµ Ð¿Ð¾Ð¸ÑÐº Ð¸ Ð¸Ð´ÐµÐ½ÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ñ Ð±Ð¾ÑÐ¾Ð², Ð° ÑÐ°ÐºÐ¶Ðµ Ð¿ÑÐ¾Ð°Ð½Ð°Ð»Ð¸Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ñ Ð¿ÑÐ¸Ð½ÑÐ¸Ð¿Ñ Ð¸Ñ ÑÐ°Ð±Ð¾ÑÑ. ÐÐ° Ð¾ÑÐ½Ð¾Ð²Ðµ ÑÐ¾Ð±ÑÐ°Ð½Ð½Ð¾Ð¹ Ð¸Ð½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ð¸ Ð±ÑÐ»Ð° Ð²ÑÐ±ÑÐ°Ð½Ð° ÑÑÑÐ°ÑÐµÐ³Ð¸Ñ, Ð¾ÑÐ½Ð¾Ð²ÑÐ²Ð°ÑÑÐ°ÑÑÑ Ð½Ð° Ð¼ÐµÑÐ¾Ð´Ð°Ñ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ, ÑÐµÑÐ°ÑÑÐ¸Ñ Ð·Ð°Ð´Ð°ÑÑ ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð¾Ð±ÑÐ°Ð·Ð¾Ð². Ð ÐºÐ°ÑÐµÑÑÐ²Ðµ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð±ÑÐ»Ð¸ Ð²ÑÐ±ÑÐ°Ð½Ñ Ð¾ÑÐ½Ð¾Ð²Ð½ÑÐµ, Ð¸ÑÐ¿Ð¾Ð»ÑÐ·ÑÐµÐ¼ÑÐµ Ð°Ð½Ð°Ð»Ð¸ÑÐ¸ÐºÐ°Ð¼Ð¸ Ð´Ð°Ð½Ð½ÑÑ, Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ñ, ÑÐ°ÐºÐ¸Ðµ ÐºÐ°Ðº Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð°Ñ ÑÐµÑÑ, ÑÐ»ÑÑÐ°Ð¹Ð½ÑÐµ Ð»ÐµÑÐ° Ð¸ Ñ. Ð´. ÐÑÐ¸Ð½ÑÐ¸Ð¿Ñ ÑÐ°Ð±Ð¾ÑÑ Ð½ÐµÐºÐ¾ÑÐ¾ÑÑÑ Ð¸Ð· Ð½Ð¸Ñ Ð±ÑÐ»Ð¸ Ð¿Ð¾Ð´ÑÐ¾Ð±Ð½Ð¾ Ð¾Ð¿Ð¸ÑÐ°Ð½Ñ. Ð ÐºÐ°ÑÐµÑÑÐ²Ðµ Ð¾Ð±ÑÑÐ°ÑÑÐ¸Ñ Ð´Ð°Ð½Ð½ÑÑ ÑÐ¾ÑÑÐ°Ð²Ð»ÐµÐ½Ð° Ð±Ð°Ð·Ð°, ÑÐ¾Ð´ÐµÑÐ¶Ð°ÑÐ°Ñ Ð¾ÐºÐ¾Ð»Ð¾ 30 ÑÑÑ. Ð°ÐºÐºÐ°ÑÐ½ÑÐ¾Ð², ÐºÐ°Ð¶Ð´ÑÐ¹ Ð¸Ð· ÐºÐ¾ÑÐ¾ÑÑÑ Ð¾Ð¿Ð¸ÑÑÐ²Ð°ÐµÑÑÑ Ð²ÐµÐºÑÐ¾ÑÐ¾Ð¼ Ð¸Ð· 20 ÑÐ°ÑÐ°ÐºÑÐµÑÐ¸ÑÑÐ¸Ðº. ÐÐ¾ÑÐ»Ðµ ÑÐ±Ð¾ÑÐ° Ð±ÑÐ»Ð° Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð° Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ° Ð´Ð°Ð½Ð½ÑÑ Ð´Ð»Ñ Ð¿ÑÐ¸Ð²ÐµÐ´ÐµÐ½Ð¸Ñ Ð¸Ñ Ðº Ð²Ð¸Ð´Ñ, Ð¿ÑÐ¸Ð³Ð¾Ð´Ð½Ð¾Ð¼Ñ Ð´Ð»Ñ Ð¿Ð¾Ð´Ð°ÑÐ¸ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð°Ð¼ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ. Ð¡ Ð¿Ð¾Ð¼Ð¾ÑÑÑ ÑÑÐ¸Ñ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð² Ð±ÑÐ» ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½ ÑÐ¾Ð±ÑÑÐ²ÐµÐ½Ð½ÑÐ¹ Ð¼ÐµÑÐ¾Ð´ Ð¸Ð´ÐµÐ½ÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ Ð±Ð¾ÑÐ¾Ð² Ñ Ð¿ÑÐ¾Ð²ÐµÐ´ÑÐ½Ð½Ð¾Ð¹ Ð¾ÑÐµÐ½ÐºÐ¾Ð¹ ÐµÐ³Ð¾ ÐºÐ°ÑÐµÑÑÐ²Ð°. Ð ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐµ Ð¿Ð¾Ð»ÑÑÐ¸Ð»ÑÑ Ð³Ð¾ÑÐ¾Ð²ÑÐ¹ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¾Ñ, ÐºÐ¾ÑÐ¾ÑÑÐ¹ Ð¼Ð¾Ð¶Ð½Ð¾ ÑÑÐ¿ÐµÑÐ½Ð¾ Ð¿ÑÐ¸Ð¼ÐµÐ½ÑÑÑ Ð½Ð° Ð¿ÑÐ°ÐºÑÐ¸ÐºÐµ Ð´Ð»Ñ Ð¸Ð´ÐµÐ½ÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ Ð±Ð¾ÑÐ¾Ð².
description: The subject of this work is the detection of malicious accounts belonging to bots in the field of information security. The purpose of the final qualification work is to analyze the existing means of combating bots, as well as to create our own method for detecting virtual users in social networks. The main strategies for searching and identifying bots, as well as the level of their applicability, were analyzed. As examples, individual analog applications that implement the search and identification of bots are demonstrated, and the principles of their operation are analyzed. Based on the collected information, a strategy was chosen based on machine learning methods that solve the problem of pattern recognition. The main algorithms used by data analysts, such as neural network, random forests, etc., were chosen as methods. The principles of operation of some of them were described in detail. As training data, a database was compiled containing about 30 thousand accounts, each of which is described by a vector of 20 characteristics. After the collection, the data was processed to bring them to a form suitable for submission to machine learning algorithms. Using these algorithms, we developed our own method for identifying bots with an assessment of its quality. The result is a ready-made classifier that can be successfully applied in practice to identify bots.