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 Ð°ÐºÐºÐ°ÑÐ½ÑÐ¾Ð² Ð² Ð¼Ð¾Ð±Ð¸Ð»ÑÐ½ÑÑ Ð¿ÑÐ¸Ð»Ð¾Ð¶ÐµÐ½Ð¸ÑÑ Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐµÑÐ¸ Ð´Ð¾Ð»Ð³Ð¾Ð¹ ÐºÑÐ°ÑÐºÐ¾ÑÑÐ¾ÑÐ½Ð¾Ð¹ Ð¿Ð°Ð¼ÑÑ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 automatically managed accounts in mobile applications using a long short-term memory neural network
Creators: name: ÐÐµÑÑÐ¾Ð², Ð¡ÐµÑÐ³ÐµÐ¹
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: 2024
Subjects: Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð½ÑÐ¹ ÑÑÐ°ÑÐ¸Ðº
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Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸ Ð´Ð¾Ð»Ð³Ð¾Ð¹ ÐºÑÐ°ÑÐºÐ¾ÑÑÐ¾ÑÐ½Ð¾Ð¹ Ð¿Ð°Ð¼ÑÑÐ¸
automated traffic
bot
behavioral analysis
neural networks of long short-term memory

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description: The goal of the work is to increase the accuracy of detection of automatically managed accounts in mobile applications through the use of a long short-term memory neural network. Problems solved during the study: 1. Analysis of attacker techniques for automating actions. 2. Defining metrics that allow you to separate automatic traffic from what is generated by a live user on mobile devices. 3. Development of a client-server architecture and layout of a system for detecting automatically managed accounts in mobile applications, implementing the developed method. 4. Experimental assessment of the effectiveness of the proposed solution. As a result of the work, a method for detecting automatically managed accounts in mobile applications of the Android operating system was developed, and the effectiveness of the tool was demonstrated. The results obtained can be used as a basis for designing systems for detecting automatically managed accounts in mobile applications.Â