Automated Masking of FPGA-Mapped Designs

2023 33rd International Conference on Field-Programmable Logic and Applications (FPL)(2023)

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摘要
Due to the importance of FPGAs for secure systems, dealing with private data, protection against side-channel analysis attacks is a must. Although masking is a widely-deployed countermeasure, its application - particularly in hardware - is costly and error-prone. Therefore, generating masked hardware automatically with publicly-available tools such as AGEMA is attractive. As AGEMA was introduced to generate ASIC designs, its direct application on FPGAs is inefficient. In this work, we present AGEMA_FPGA to automatically generate highly-efficient masked circuits for FPGAs. Compared to the original AGEMA designs, our masked FPGA-based circuits utilize up to 64% fewer LUTs and at most 22% fewer FFs while the power consumption is reduced by at most 59%. We further provide an experimental side-channel security analysis of our designs confirming their provable security nature.
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关键词
FPGA, Side-Channel Analysis, Masking, AGEMA
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