Approaches for FPGA Design Assurance

Author:

Cahill Eli1ORCID,Hutchings Brad1ORCID,Goeders Jeffrey1ORCID

Affiliation:

1. Brigham Young University, USA

Abstract

Field-Programmable Gate Arrays (FPGAs) are widely used for custom hardware implementations, including in many security-sensitive industries, such as defense, communications, transportation, medical, and more. Compiling source hardware descriptions to FPGA bitstreams requires the use of complex computer-aided design (CAD) tools. These tools are typically proprietary and closed-source, and it is not possible to easily determine that the produced bitstream is equivalent to the source design. In this work, we present various FPGA design flows that leverage pre-synthesizing or pre-implementing parts of the design, combined with open-source synthesis tools, bitstream-to-netlist tools, and commercial equivalence-checking tools, to verify that a produced hardware design is equivalent to the designer’s source design. We evaluate these different design flows on several benchmark circuits and demonstrate that they are effective at detecting malicious modifications made to the design during compilation. We compare our proposed design flows with baseline commercial design flows and measure the overheads to area and runtime.

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Toward FPGA Intellectual Property (IP) Encryption from Netlist to Bitstream;ACM Transactions on Reconfigurable Technology and Systems;2024-04-12

2. Assuring Netlist-to-Bitstream Equivalence using Physical Netlist Generation and Structural Comparison;2023 International Conference on Field Programmable Technology (ICFPT);2023-12-12

3. Security Problems of Latest FPGAs and Reverse Engineering Methods of Xilinx 7-series FPGAs;JOURNAL OF SEMICONDUCTOR TECHNOLOGY AND SCIENCE;2023-10-31

4. IPRec and Isoblaze: Fuzzy Subcircuit Isomorphism for IP Detection in Physical Netlists;2023 IEEE Physical Assurance and Inspection of Electronics (PAINE);2023-10-24

5. Leveraging FPGA Primitives to Improve Word Reconstruction during Netlist Reverse Engineering;2022 International Conference on Field-Programmable Technology (ICFPT);2022-12-05

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