Intelligent Forensics for Trusted Execution Environments in RISC-V Architectures (available)

Project Description: Trusted Execution Environments (TEEs) offer a promising approach to securing computation on embedded systems, but digital forensics capabilities within these environments remain underexplored. This project investigates how Machine Learning (ML) and Artificial Intelligence (AI) techniques can be integrated into a lightweight digital forensics framework tailored for TEEs, with a focus on RISC-V-based systems … full description “Intelligent Forensics for Trusted Execution Environments in RISC-V Architectures (available)”