This work focuses on conducting an in-depth security evaluation of the OpenTitan framework, an open-source silicon root of trust designed to reinforce trusted computing on hardware-level systems. The research will begin with a thorough review of OpenTitan’s architecture, security features, and implementation details to identify potential weakness points. Building on this understanding, the project will employ systematic testing methods, including static code analysis, fuzzing, and hardware penetration testing, to uncover vulnerabilities and assess the impact of any discovered flaws on system integrity.

This thesis explores the development of new integrated GPU architectures within RISC-V SoC platforms. By designing GPU modules that are seamlessly integrated with the RISC-V architecture, the research will focus on improving graphical processing efficiency and enabling more powerful and energy-efficient SoC solutions for diverse applications.

This thesis focuses on the design and development of new Trusted Execution Environments (TEEs) to enhance the security of computing systems. The research will explore innovative TEE architectures that provide improved protection for sensitive data and operations, particularly in embedded systems, ensuring that security is maintained even in the presence of malicious attacks (Transient Execution Attacks like Spectre and Meltdown, for example) or software vulnerabilities.