Machine Learning-based Intrusion Detection System for Public Wi-Fi

There is an increase in the use of public Wi-Fi in many places which is used for the convenient internet access. When cyberattacks occur, the networks get exposed to the attacks, like spoofing, DoS (Denial of Service) and man-in-the-middle, which harms the privacy and stability of the network. The conventional methods have some disadvantages. Intrusion Detection System (IDS) helps to enhance security of the networks. It inspects all the incoming network traffic by detecting its packet sizes, the connection duration and frequency. By applying supervised machine learning models, the detection rate can be further enhanced.