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recycled fpga detection 10.1109/tcad.2020.3023684

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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recycled fpga detection 10.1109/ITC-Asia.2019.00031

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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10.1109/IOLTS52814.2021.9486698

Several methods for detecting recycled FPGAs by analyzing the ring oscillator (RO) frequencies have been proposed; however, most assume the presence of known fresh FPGAs (KFFs) as the training data used for machine-learning-based classification, which is an impractical assumption.

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10.1109/tcad.2020.3023684

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.

Full Text

More Recycled Fpga sentence examples

10.1109/ITC-Asia.2019.00031

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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10.1109/TVLSI.2019.2933278

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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Recycled Fpga

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Jan 13, 2025

What is/are Recycled Fpga?

Recycled Fpga - Several methods for detecting recycled FPGAs by analyzing the ring oscillator (RO) frequencies have been proposed; however, most assume the presence of known fresh FPGAs (KFFs) as the training data used for machine-learning-based classification, which is an impractical assumption. ^[1] 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. ^[2] In this research, we propose a low-cost recycled FPGA detection method using a virtual probe (VP) technique based on compressed sensing. ^[3] 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. ^[4]

recycled fpga detection

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. ^[1] In this research, we propose a low-cost recycled FPGA detection method using a virtual probe (VP) technique based on compressed sensing. ^[2]