Thesis topic:

Dynamic Risk Assessment in IoT: An Approach Based on Quantitative Metrics and Temporal Risk Factors

Supervisor: Abasi-Amefon Obot Affia
- contact: amefon.affia@ut.ee
The research proposes a dynamic risk assessment framework for IoT systems that incorporates static quantitative metrics and temporal risk factors. By aggregating risk scores from various layers of an IoT architecture, this study aims to offer a comprehensive, real-time view of the system's security posture. The goal is to develop a risk assessment model capable of adapting to the rapidly changing threat landscape of IoT environments.