Deep Learning-Enhanced Dynamic Photonic Security System Using Multimode VCSELs

We present a photonic security system leveraging dynamic physical unclonable functions generated by multimode VCSELs, combined with deep learning-enhanced authentication. This system enables ultra-fast key distribution (<10 ns) and ~100% specificity, ideal for robust anti-counterfeiting.

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.1364/cleo_si.2025.ss126_3
Primary Topic
Physical Unclonable Functions (PUFs) and Hardware Security
Type
article
Field-Weighted Citation Impact
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article

Deep Learning-Enhanced Dynamic Photonic Security System Using Multimode VCSELs

Boon S. Ooi, Hang Lu, Omar Alkhazragi, Zhican Zhou et al.
Physical Unclonable Functions (PUFs) and Hardware Security
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Deep Learning-Enhanced Dynamic Photonic Security System Using Multimode VCSELs

Boon S. Ooi, Hang Lu, Omar Alkhazragi, Zhican Zhou, Yating Wan, Tien Khee Ng, Nakul Nandhakumar
article en

Abstract

We present a photonic security system leveraging dynamic physical unclonable functions generated by multimode VCSELs, combined with deep learning-enhanced authentication. This system enables ultra-fast key distribution (<10 ns) and ~100% specificity, ideal for robust anti-counterfeiting.

Openalex Percentile: Top 72%
Physical Unclonable Functions (PUFs) and Hardware Security
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