Automated Reverse Engineering Tools for FPGA Bitstream Extraction and Logic Estimation
Mannhee Cho, Dong-Chan Lee, Sang-Hyun Lee, Youngmin Kim, Hyung‐Min Lee
Abstract
Mannhee Cho, Dong-Chan Lee, Sang-Hyun Lee, Youngmin Kim, Hyung‐Min Lee
Abstract
Field-programmable gate arrays (FPGAs) are considered to be a suitable platform for various electronics thanks to high performance and reconfigurable structure, but security concerns for FPGAs should be addressed. Non-invasive attacks on FPGAs may extract configuration files, i.e. bitstream, which is stored in external non-volatile memory, to estimate data or modify it to inject malicious codes. To identify the weakness and provide solutions, researches on FPGA reverse engineering have been conducted. This paper proposes an automated tool for FPGA reverse engineering, targeting Xilinx FPGAs. The tool can extract bitstream from the external memory, identify the device type, and reconstruct the logic programmed in the FPGA based on bitstream analysis.
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Field-programmable gate arrays (FPGAs) are considered to be a suitable platform for various electronics thanks to high performance and reconfigurable structure, but security concerns for FPGAs should be addressed. Non-invasive attacks on FPGAs may extract configuration files, i.e. bitstream, which is stored in external non-volatile memory, to estimate data or modify it to inject malicious codes. To identify the weakness and provide solutions, researches on FPGA reverse engineering have been conducted. This paper proposes an automated tool for FPGA reverse engineering, targeting Xilinx FPGAs. The tool can extract bitstream from the external memory, identify the device type, and reconstruct the logic programmed in the FPGA based on bitstream analysis.
Key concepts: Field-programmable gate array, Bitstream, Computer science, Embedded system, Logic block, Reverse engineering, Reconfigurable computing, Computer hardware