Developing automated machine learning based model for vulnerabilities detection in IoT devices and networks

The project will focus on the development of ML based vulnerability model that can detect vulnerabilities in a timely and swift manner to prevent potential cyber-attacks on IoT devices and networks. In the proposed project, we will develop a prototype that will be tested in the IPVM IoT lab based in USA. It is expected that the proposed model will be able to analyse network traffic by focusing on the traffic patterns and device metadata for identification of any abnormal behaviour that can trigger an alert for securing the weak devices and the network sections.