LiNbO3-based Optical Physical Unclonable Functions with Optimised Cryptographic Entropy via Rare-Earth Co-doping

We present a comprehensive theoretical study of LiNbO3-based optical Physical Unclonable Functions (PUFs) with entropy optimisation through combined MgO and rare-earth element (REE) co-doping. The core challenge -- the entropy-photorefraction trade-off -- is addressed by introducing REE ions as controlled random scattering centres. We derive an analytical entropy model H(c,T), calibrate it against experimental data, and evaluate compositions against NIST SP 800-22 metrics, Bit Error Rate (BER), long-term degradation H(t), and ML attack resistance. The optimal composition -- 4 mol.% MgO + 0.55 mol.% Nd3+ + 0.35 mol.% Yb3+ -- achieves +18.6% entropy gain, full NIST compliance across -40 to +85C, BER < 10^-22, entropy retention of 95.6% after 20 years, and superior ML attack resistance versus silicon Arbiter PUFs. An experimental verification programme covering 42 compositions is outlined.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-25
DOI
https://doi.org/10.5281/zenodo.20842970
Primary Topic
Physical Unclonable Functions (PUFs) and Hardware Security
Type
preprint
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preprint

LiNbO3-based Optical Physical Unclonable Functions with Optimised Cryptographic Entropy via Rare-Earth Co-doping

Volodymyr Chyshkala, Sergiy Skrebtsov, Gennady Khalimov
Zenodo (CERN European Organization for Nuclear Research)
Physical Unclonable Functions (PUFs) and Hardware Security
preprint

LiNbO3-based Optical Physical Unclonable Functions with Optimised Cryptographic Entropy via Rare-Earth Co-doping

Volodymyr Chyshkala, Sergiy Skrebtsov, Gennady Khalimov
preprint en

Abstract

We present a comprehensive theoretical study of LiNbO3-based optical Physical Unclonable Functions (PUFs) with entropy optimisation through combined MgO and rare-earth element (REE) co-doping. The core challenge -- the entropy-photorefraction trade-off -- is addressed by introducing REE ions as controlled random scattering centres. We derive an analytical entropy model H(c,T), calibrate it against experimental data, and evaluate compositions against NIST SP 800-22 metrics, Bit Error Rate (BER), long-term degradation H(t), and ML attack resistance. The optimal composition -- 4 mol.% MgO + 0.55 mol.% Nd3+ + 0.35 mol.% Yb3+ -- achieves +18.6% entropy gain, full NIST compliance across -40 to +85C, BER < 10^-22, entropy retention of 95.6% after 20 years, and superior ML attack resistance versus silicon Arbiter PUFs. An experimental verification programme covering 42 compositions is outlined.

Zenodo (CERN European Organization for Nuclear Research)
Kharkiv National University of Radio Electronics (UA), V. N. Karazin Kharkiv National University (UA)
Physical Unclonable Functions (PUFs) and Hardware Security
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