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Although machine learning (ML)-based classification is often used for recycled FPGA detection, X-FP yields a large amount of measurement data, which cannot be appropriately handled by typical ML algorithms, if they are used as a feature vector.
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In this research, we propose a low-cost recycled FPGA detection method using a virtual probe (VP) technique based on compressed sensing.
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Reports indicate that previously used or recycled FPGAs are infiltrating the electronics’ supply chain and making the security and reliability of the critical systems and networks vulnerable.
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