title: ÐÐ±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ðµ Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸ÑÐµÑÐºÐ¸ ÑÐ¿ÑÐ°Ð²Ð»ÑÐµÐ¼ÑÑ ÑÑÐµÑÐ½ÑÑ Ð·Ð°Ð¿Ð¸ÑÐµÐ¹ Ð² ÑÐ¾ÑÐ¸Ð°Ð»ÑÐ½ÑÑ ÑÐµÑÑÑ Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ ÑÐµÐ¾ÑÐ¸Ð¸ Ð³ÑÐ°ÑÐ¾Ð² Ð¸ ÑÐ²ÐµÑÑÐ¾ÑÐ½ÑÑ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÑ ÑÐµÑÐµÐ¹
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 automatically managed accounts in social networks using graph theory and convolutional neural networks
Creators: name: ÐÐ¾Ð²ÑÑÐ½ÐµÐ½ÐºÐ¾, ÐÑÑÐµÐ¼
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¸Ð½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ Ð±ÐµÐ·Ð¾Ð¿Ð°ÑÐ½Ð¾ÑÑÑ
ÑÐ¾ÑÐ¸Ð°Ð»ÑÐ½ÑÐµ ÑÐµÑÐ¸
Ð³ÑÐ°ÑÐ¾Ð²ÑÐµ ÑÐµÑÐ¸
Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ðµ Ð±Ð¾ÑÐ¾Ð²
information security
social networks
graph networks
bot detection

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description: The topic of the final qualifying work: Â«Detection of automatically managed accounts in social networks using graph theory and convolutional neural networksÂ».The object of the work is the accounts of users in online social networks.The subject of the research is the process of classifying social network user accounts.The purpose of this work is to classify user accounts in online social networks by analyzing the attributes and user social network using graph convolution network.The research set the following goals:Identify the main components and threats of botnets in online social networks.Explore methods used to detect bot in online social networks.Develop classifier using graph convolution network model to detect automatically managed accounts in online social networks.Evaluate the effectiveness of the developed classifier.The work resulted in development of a software to perform binary social network usersâ classification, depending on profile characteristics, and associated social network. Â Developed software can be used to protect users from bot related threats.