GNN-Based Control Flow Attestation for Embedded Devices - One for All and All for One

GNN-Based Control Flow Attestation for Embedded Devices - One for All and All for One

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore a Graph Neural Network (GNN) based approach to control flow attestation for embedded devices in this 15-minute IEEE conference talk. Discover how the "One for All and All for One" concept is applied to enhance security measures in resource-constrained environments. Learn about the innovative techniques used to verify the integrity of program execution on embedded systems, and gain insights into the potential benefits and challenges of implementing GNN-based attestation methods.