Al-Farg'oniy avlodlari (The descendants of Al-Fargani)
Published December 25, 2024 | Version v2
Journal article Open

ОБНАРУЖЕНИЕ И ОЦЕНКА ФИШИНГОВЫХ URL-АДРЕСОВ С ИСПОЛЬЗОВАНИЕМ АЛГОРИТМОВ МАШИННОГО ОБУЧЕНИЯ

Creators

  • 1. Докторант, Ферганский государственный университет,

Description

В настоящее время представлено несколько алгоритмов, основанных на машинном обучении, для обнаружения попыток фишинга. Однако эти подходы часто страдают от низкой точности, а также длительного времени отклика и высокого уровня ложных срабатываний, что снижает эффективность этих алгоритмов. Кроме того, большинство существующих методов опираются на предопределенный набор функций, что может ограничивать их гибкость и надежность. В будущих исследованиях передовые методы, такие как машинное обучение и глубокое обучение, для изучения и выявления меняющихся угроз помогут выявить индикаторы фишинга. Анализ данных в реальном времени и циклы обратной связи с пользователями также могут повысить производительность и надежность систем обнаружения фишинга за счет сокращения времени отклика и ложных срабатываний. Такой подход повысит общую эффективность мер кибербезопасности против фишинговых атак.

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