Методы машинного обучения для анализа и моделирования поведения пользователей компьютерных систем

Аннотация

В данной статье дается обзор современного состояния и основных научных результатов коллектива кафедры интеллектуальных информационных технологий факультета вычислительной математики и кибернетики МГУ им. М.В. Ломоносова в области исследования и разработки методов машинного обучения для решения задач анализа и моделирования поведения пользователей компьютерных систем рассматриваются модели и задачи для основных источников поведенческих данных, включая человеко-машинный интерфейс, прикладные и системные журналы, электронные документы и взаимодействующие группы и сообщества пользователей, а также комбинации этих источников. Основной акцент делается на решении задач, связанных с компьютерной и информационной безопасностью.

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