This was a proof of concept project to support research around the development of a “Device Nutrition Label” for user devices when trying to access corporate systems. A mobile app gathers operating system profile data and uploads them to a server. A machine learning layer is used to assess the security of the device and can recommend permitting or denying access based on this.
See this screencast for a walkthrough of the system:
Associated Research Output:
Abdullahi, A. (2018). CyberSDnL: A roadmap to Cyber Security Device nutrition Label. In CYBER 2018, The Third International Conference on Cyber-Technologies and Cyber-Systems