Аналіз та моделювання IoT-трафіку

Abstract

This paper examines the characteristics of IoT traffic, focusing on its modeling and analysis. A generator tool was developed to generate synthetic traffic. Machine learning methods, such as Random Forest and KNN, were applied to classify devices and detect traffic types. The study proving the effectiveness of entropy-based analysis for IoT security enhancement.