Machine Learning for IoT Security

 The Research and Consultancy Committee of the Information Technology Department organised a webinar on the security of the Internet of Things (IoT). The webinar was held on 29 April  2021, at 10 am under the title “Machine Learning for IoT Security”. It was delivered by Dr Zubair Baig, a senior lecturer and security researcher at Deakin University, Australia.

Dr Zubair started the session by describing various IoT-driven platforms, including smart building, smart homes, smart cities, and vehicle-to-everything (v2x). He also described the current recent research trend categories into the smart city, including smart grid, building automation systems, unmanned aerial vehicles and smart vehicles. Moreover, he also outlines the security challenges associated with each category. 

Additionally, Dr Zubair explained how artificial intelligence can help in protecting and preventing attacks on IoT systems. Afterwards, he demonstrated some attack scenarios against these systems and illustrated how machine learning could detect attacks launched on these systems.

After an informative and well-structured presentation, the guest speaker allotted some time for the questions and answers session. About 41 staff members and students attended the webinar, which lasted for one hour and concluded at 11 am. The full video recording is available online via the following link: https://cutt.ly/QnXgMK3

Feedback 

Overall feedback of the event by the participant was 4.225 on the scale of 5.