title: ÐÐ²ÑÐ¾Ð¼Ð°ÑÐ¸Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð½ÑÐ¹ ÑÐ±Ð¾Ñ Ð¸Ð½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ð¸ Ð¾Ð± Ð°ÐºÑÑÐ°Ð»ÑÐ½ÑÑ ÑÐ³ÑÐ¾Ð·Ð°Ñ Ð±ÐµÐ·Ð¾Ð¿Ð°ÑÐ½Ð¾ÑÑÐ¸ Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° Ð¾ÑÐºÑÑÑÑÑ Ð¸ÑÑÐ¾ÑÐ½Ð¸ÐºÐ¾Ð²
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: Automated collection of information about current security threats based on the analysis of open sources
Creators: name: Ð¨Ð¸ÑÐ¾Ð², ÐÐ»ÐµÐºÑÐ°Ð½Ð´Ñ
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
Ð¸Ð½Ð´Ð¸ÐºÐ°ÑÐ¾ÑÑ ÐºÐ¾Ð¼Ð¿ÑÐ¾Ð¼ÐµÑÐ°ÑÐ¸Ð¸
Ð¸Ð½ÑÐµÐ»Ð»ÐµÐºÑÑÐ°Ð»ÑÐ½ÑÐ¹ Ð°Ð½Ð°Ð»Ð¸Ð· ÑÐµÐºÑÑÐ°
Ð¿Ð¾Ð¸ÑÐº ÑÐ³ÑÐ¾Ð· Ð±ÐµÐ·Ð¾Ð¿Ð°ÑÐ½Ð¾ÑÑÐ¸
indicator of compromise
text mining
scanning for security threats

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description: The purpose of the study is to identify computer attacks using automated collection of information about current security threats based on the analysis of Internet resources. The subject of the work is modern methods of automated search for information security threats. The research set the following goals: 1. Analyzing and classification sources of information about security threats. Make a list of possible sources of information. 2. Exploring text mining methods and their applicability for extraction and structuring indicators of compromise from information resources and reports. 3. Development a prototype of a system that extracts indicators of compromise from given information resources. 4. Development a prototype tool for detecting computer attacks on corporate resources using aggregated information. During the work sources of information about security threats were analyzed. Methods of text analysis, their applicability for automated extraction of information about indicators of compromise were studied. The work resulted in development of a prototype system for extracting indicators of compromise and a prototype tool for detecting computer attacks used aggregated information of threats. development of a tool to find Linux kernel network stack software defects. Tool has satisfactory indicators in not only quantitative defect detection, but also in productivity. The studying point to conclusion that Linux kernel network stack security is poorly examined. The results could be used as a base for creating an automated system for identifying security threats in corporate resources.