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Designing a Photonic Physically Unclonable Function Having Resilience to Machine Learning Attacks
April 4, 2024, 4:10 a.m. | Elena R. Henderson, Jessie M. Henderson, Hiva Shahoei, William V. Oxford, Eric C. Larson, Duncan L. MacFarlane, Mitchell A. Thornton
cs.CR updates on arXiv.org arxiv.org
Abstract: Physically unclonable functions (PUFs) are designed to act as device 'fingerprints.' Given an input challenge, the PUF circuit should produce an unpredictable response for use in situations such as root-of-trust applications and other hardware-level cybersecurity applications. PUFs are typically subcircuits present within integrated circuits (ICs), and while conventional IC PUFs are well-understood, several implementations have proven vulnerable to malicious exploits, including those perpetrated by machine learning (ML)-based attacks. Such attacks can be difficult to prevent …
act applications arxiv attacks challenge cs.cr cybersecurity device fingerprints function functions hardware input machine machine learning physics.optics puf resilience response root trust
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