Thesis topic:

Exploring the Efficacy of Machine Learning Algorithms in Real-Time Threat Identification Across Different Layers of IoT Architectures

Supervisor: Abasi-Amefon Obot Affia
- contact: amefon.affia@ut.ee
This research aims to utilise machine learning algorithms for the real-time identification of abnormal patterns in each layer of IoT architectures, from device (perception) to application layers. The study will also investigate the integration of specialised threat intelligence feeds to enhance the identification process. The goal is to establish a framework for layer-specific threat identification, offering actionable insights for IoT security management.