title: Ð¡ÑÐ°Ð²Ð½Ð¸ÑÐµÐ»ÑÐ½ÑÐ¹ Ð°Ð½Ð°Ð»Ð¸Ð· Ð¼ÐµÑÐ¾Ð´Ð¾Ð² ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ Ð´Ð»Ñ Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ñ Ð²ÑÐµÐ´Ð¾Ð½Ð¾ÑÐ½ÑÑ PDF-ÑÐ°Ð¹Ð»Ð¾Ð²
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: Comparative analysis of classification methods for detecting malicious PDF files
Creators: name: ÐÐ¾Ð»Ð³Ð¸Ð½, ÐÑÑÐµÑÐ»Ð°Ð²
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Ð°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
Ð²ÑÐµÐ´Ð¾Ð½Ð¾ÑÐ½ÑÐµ ÑÐ°Ð¹Ð»Ñ
ÑÑÐ°Ð²Ð½Ð¸ÑÐµÐ»ÑÐ½ÑÐ¹ Ð°Ð½Ð°Ð»Ð¸Ð·
malicious files
comparative analysis

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description: The purpose of the study is to enhance the effectiveness of detecting malicious PDF files using machine learning methods. The subject of the work is a comparative analysis of classification methods for detecting malicious PDF files. The research set the following goals: Analysis of the research domain related to the topic. Formation of a database of PDF files for conducting the research. Analysis of the applicability of machine learning methods for detecting malicious PDF files. Development of a software prototype for detecting malicious PDF files using machine learning methods. Conducting a comparative analysis of the selected machine learning methods for solving the task of detecting malicious PDF files. During the work the research domain related to the topic was analyzed. The applicability of machine learning methods for detecting malicious PDF files was investigated. The work resulted in a software prototype for detecting malicious PDF files using machine learning methods. A database of PDF files was created, which was used for conducting a comparative analysis of the selected machine learning methods for detecting malicious PDF files. The obtained results can be implemented in systems designed to cope with malicious software and can be further applied for protection against such attacks.