title: ÐÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ðµ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð´Ð»Ñ Ð²ÑÑÐ²Ð»ÐµÐ½Ð¸Ñ ÑÐ¸ÑÐ¸Ð½Ð³Ð¾Ð²ÑÑ Ð²ÐµÐ±-ÑÑÑÐ°Ð½Ð¸Ñ
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Application of machine learning methods to identify phishing web pages
Creators: name: Ð¨Ð°Ð¿Ð¾ÑÐ½Ð¸Ðº, ÐÐºÐ°ÑÐµÑÐ¸Ð½Ð°
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: ÑÐ¸ÑÐ¸Ð½Ð³
Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
ÑÐ°ÑÑÐ¸ÑÐµÐ½Ð¸Ðµ Ð¿Ð¾Ð´ Ð±ÑÐ°ÑÐ·ÐµÑ
ÑÐ¸ÑÐ¸Ð½Ð³Ð¾Ð²ÑÐµ Ð²ÐµÐ±-ÑÑÑÐ°Ð½Ð¸ÑÑ
phishing
machine learning
browser extension
phishing webpages

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description: The purpose of the study is to identify phishing webpages by machine learning. The subject of the work is methods of detecting phishing URLs. The research set the following goals: 1. Analysis of existing solutions on recognizing phishing webpages. 2. Realization of a training sample containing both phishing and legitimate URLs. 3. Development of a software tool that collects information about each URL from the dataset. 4. Training of machine learning models. 5. Comparative analysis of the machine learning models used. 6. Realization of the extension for the browser that detects phishing webpages. During the work methods of detecting phishing webpages were investigated. The parameters by which a webpage can be classified have been identified. The work resulted in development of a software that collects information about the URL, machine learning models were trained and compared. An extension was implemented for the Google Chrome browser that checks the users opened page. The resulting product can be used by users to control the visited web pages.