Physically unclonable functions (PUFs) enable hardware-rooted identities by converting fabrication randomness into challenge-response pairs (CRPs). However, conventional PUFs generally expose only one dominant entropy feature per cell, so fingerprint capacity commonly scales with array size. Here, a fingerprint-expan...
Jueun Lee, T. Ohm, Youngmin Han et al.· ACS Nano· 0 citations
ABSTRACT We propose a novel dual‐randomness framework that integrates physically unclonable functions (PUFs) and true random number generators (TRNGs) within a single nanomaterial platform. In contrast to conventional approaches that treat PUFs and TRNGs as separate entities, our platform integrates both entropy source...
Seung-Me Kang, Wang-Kug Choi, Jueun Lee et al.· Advancement of science· 0 citations
Resource‐constrained edge and Internet‐of‐Things devices require hardware roots of trust that are compact, reconfigurable and compatible with large‐scale manufacturing. However, many physical unclonable functions (PUFs) rely on fixed post‐fabrication variability, limiting their adaptability once challenge–response in...
Jaehong Min, Hyunjun Kang, J. Park et al.· Advanced Functional Material...· 1 citation
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