The Development of the Multi-Layer Security Network Authentication System Using Machine Learning

Abstract

Researchers and business owners place significant importance on the security of IoT networks as it directly affects the availability of IoT services and the privacy of connected users. To address this concern, an intrusion detection system is used to identify and thwart attacks and to provide multi-layer security. In this study, a novel system is developed of multi-layer Security network authentication system using machine learning. This approach combines algorithm for security network authentication system. Additionally, an oversampling technique is employed to improve the quality of classification results.Various experiments were conducted with different layers, as well as two distinct techniques for developing authentication system.