9004 Problems of information security. Computer systems Проблемы информационной безопасности. Компьютерные системы 2071-8217 3 Malware detection approach based on the detection of abnormal network traffic using machine learning algorithms Подход к обнаружению вредоносных программ на основе выявления аномального сетевого трафика с использованием алгоритмов машинного обучения Kriulin Artur kriulin@mirea.ru 0000-0002-5511-4000 Eremeev Mihail Nefedov V. MIREA – Russian Technological University 12 11 2021 3 27 33

The article considers a possibility of using machine learning technologies to detect network connections of malicious programs based on the detection of anomalies. The classification of network connections of malicious software is carried out based on statistical signs during data transmission that occur at the transport and network levels of the OSI model. It is proposed to use machine learning technologies to assess the probability of detecting malware based on their network activity

 Machine Learning Algorithms Malware Intrusion Detection Tools Network Activity