TrustFlow: A Trusted Memory Support for Data Flow Integrity

Abstract

With the emergence of Internet of Things (IoT), embedded computing cores tend to be increasingly used to handle critical applications. In order to avoid faulty scenarios on these devices, there is a need to provide extra hardware support against memory corruption bug exploits. To address this issue, the presented paper provides a new efficient fine-grained data flow integrity mechanism based on a translation lookaside buffer. The concept is validated by extending the RISC-V instruction set and implementing it on a Digilent Xilinx Arty-35T board. The obtained results show that the contribution extends few features in the processor pipeline, the compiler and does not induce any software overhead at run-time.