title: ÐÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ðµ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð´Ð»Ñ Ð²ÑÑÐ²Ð»ÐµÐ½Ð¸Ñ ÑÐ¸ÑÐ¸Ð½Ð³Ð°
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: Using machine learning to detect phishing
Creators: name: ÐÐ°Ð²ÑÐ°Ð¶Ð½Ð¾Ð², Ð¢Ð¸Ð¼Ð¾ÑÐµÐ¹
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: ÑÐ¸ÑÐ¸Ð½Ð³
Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ñ
Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ðµ Ð°ÑÐ°Ðº
phishing
machine learning
classification
attack detection

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description: The purpose of the study is improving Phishing URL Classification Using Machine Learning. The subject of the work is process of detecting phishing websites. The research set the following goals: 1. Analysis of types of phishing attacks. 2. Analysis of methods for detecting phishing attacks. 3. Formation of a training sample containing phishing and legitimate URLs. 4. Formation of features based on the selected method. 5. Development of an approach to detect phishing attacks based on generated features. 6. Training machine learning models on the received data. 7. Comparative analysis of the obtained models. During the work methods for detecting phishing web pages were explored, and characteristics that can be used to classify phishing URLs were identified. The work resulted in an approach was developed for detecting phishing attacks. A comparative analysis of the results obtained for different machine learning models was carried out. The results obtained can be used as a basis for designing anti-phishing protection systems.