SoK: Trusted Execution in SoC-FPGAs
Garrett Perkins, Benjamin Macht, Lucas Ritzdorf, Tristan Running Crane, Brock LaMeres, Clemente Izurieta, Ann Marie Reinhold
TL;DR
This SoC-FPGA TEEs SoK maps the landscape of trusted execution environments on SoC-FPGA platforms, showing rapid growth but a strong bias toward application- or feature-specific designs and only a few extensible, multi-feature solutions. Using ACM DL and IEEE Xplore and applying strict inclusion criteria, the authors categorize designs by applications (hardware acceleration, cloud/remote computing, attack mitigation, IP licensing, etc.) and features (RoT, attestation, memory security, secure boot, etc.), and visualize feature usage with a heatmap. Key conclusions identify research gaps in extensibility, open-source availability, and cross-domain integration, highlighting Keystone and HECTOR-V as promising extensible paradigms while noting performance and complexity overheads. The work provides a foundation for developing modular, secure, cross-platform TEEs for edge FPGA systems, guiding both researchers and practitioners toward more holistic security solutions.
Abstract
Trusted Execution Environments (TEEs) have emerged at the forefront of edge computing to combat the lack of trust between system components. Field Programmable Gate Arrays (FPGAs) are commonly used as edge computers but were not created with security as a primary consideration. Thus, FPGA-based edge computers are increasingly the target of cyberattacks. We analyze the existing literature to systematize the applications and features of FPGA-based TEEs. We identified 27 primary studies related to different types of System-on-Chip FPGA-based TEEs. Across a wide range of applications and features, the availability of extensible solutions is limited. Most solutions focus on specific features and applications, whereas few solutions focus on feature-rich, comprehensive TEEs that can be utilized across computer systems. Whether TEEs are specific or extensible, the paucity of published studies provides evidence of research gaps. This SoK delineates these gaps revealing opportunities for researchers and developers.
