A combined parameter-and-usage strategy for component-differentially challenged XOR Arbiter PUFs yields lightweight designs that resist state-of-the-art ML attacks while preserving reliability metrics.
On the scaling of machine learning attacks on pufs with application to noise bifurcation
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Lightweight Strategy for XOR PUFs as Security Primitives for Resource-constrained IoT device
A combined parameter-and-usage strategy for component-differentially challenged XOR Arbiter PUFs yields lightweight designs that resist state-of-the-art ML attacks while preserving reliability metrics.