Multi granular level-based IFT model for RISC-V
Geraldine Shirley Nicholas, Bhavin Thakar, Fareena Saqib · 2021
Tracking the information flow to mitigate the potential vulnerabilities with localization and accuracy has led to various IFT techniques with different levels of abstraction. However, each technique focusses on a particular level of granularity for information flow control which leads to limited access control or area overhead costs decreasing the precision logic of the system. This paper presents a novel approach providing both fine and coarse grain granularity by integrating Instruction level and Gate level IFT to track the data. The proposed approach translates from Instruction level to Gate level based on the user application and module instantiation.