Vitamin-V aims to develop a complete RISC-V open-source software stack for cloud services with iso-performance to the cloud-dominant x86 counterpart and a powerful virtual execution environment for software development, validation, verification, and testing.

This study evaluates how well hardware-based methods detect stack buffer overflow (SBO) attacks in RISC-V systems. We conducted simulations on the PULP platform and examined micro-architecture events using semi-supervised anomaly detection techniques. The findings indicate that for a malicious function comprising 1% of the application size, detection accuracies exceeded 90% for AES, RSA (with fixed prime numbers), SHA, and Dijkstra applications. This approach presents compelling benefits that could enhance security of RISC-V-based systems.