Graduate Project Presentation Guidelines 📊

This presentation explores the detection of fault injection attacks in embedded cryptographic systems, emphasizing their role in IoT security. It introduces simulation-driven research utilizing machine learning classifiers validated by Arduino Uno, highlighting resource-efficient deployment. Key contributions include a generalizable detection model and insights for constrained environments, supported by experimental results such as SVM performance. Future directions focus on platform...