Chaotic Polarization Pattern‐Based Optical PUF for Tri‐Modal Authentication Application

Abstract Physically Unclonable Functions (PUFs) offer a promising solution for Internet of Things (IoT) security, yet most optical PUFs are limited to rigid binary authentication. To address this, a novel optical PUF based on chaotic polarization patterns from self‐assembled Diethyl 2,5‐dihydroxoterephthalate (DDT) crystals grown on flexible, large‐area MoS 2 films is introduced. By harnessing the unique polarized photoluminescence (PL) from the random crystal domains, a tri‐modal authentication scheme is demonstrated that provides enhanced security resolution. From the polarized PL images, a 1024‐bit key is extracted and analyzed. The system yields three statistically distinct and clearly separable Hamming distance distributions: intra‐HD (0.0157 ± 0.0061), mutual‐HD (0.2540 ± 0.0229), and inter‐HD (0.4986 ± 0.0149). This tri‐modal verification goes beyond a simple accept/reject decision, offering a more nuanced and robust authentication framework. The PUF exhibits excellent randomness, passing NIST statistical test. The practicality of this approach is further showcased through a proof‐of‐concept smartphone application. This work establishes a new paradigm for flexible, high‐security optical PUFs, holding significant promise for next‐generation IoT and authentication applications.

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Publication Details

Journal
Advanced Functional Materials
Published
2025-11-10
DOI
https://doi.org/10.1002/adfm.202521624
Primary Topic
Physical Unclonable Functions (PUFs) and Hardware Security
Type
article
Field-Weighted Citation Impact
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article

Chaotic Polarization Pattern‐Based Optical PUF for Tri‐Modal Authentication Application

Jang‐Kun Song, Seong Hoon Jeong, Sunkook Kim, Hoseong Shin et al.
Advanced Functional Materials
Physical Unclonable Functions (PUFs) and Hardware Security
article

Chaotic Polarization Pattern‐Based Optical PUF for Tri‐Modal Authentication Application

Jang‐Kun Song, Seong Hoon Jeong, Sunkook Kim, Hoseong Shin, Junoh Shim, В. П. Панов, Jae‐In Yoo, Changgyun Moon, Jincheol Jang
article en

Abstract

Abstract Physically Unclonable Functions (PUFs) offer a promising solution for Internet of Things (IoT) security, yet most optical PUFs are limited to rigid binary authentication. To address this, a novel optical PUF based on chaotic polarization patterns from self‐assembled Diethyl 2,5‐dihydroxoterephthalate (DDT) crystals grown on flexible, large‐area MoS 2 films is introduced. By harnessing the unique polarized photoluminescence (PL) from the random crystal domains, a tri‐modal authentication scheme is demonstrated that provides enhanced security resolution. From the polarized PL images, a 1024‐bit key is extracted and analyzed. The system yields three statistically distinct and clearly separable Hamming distance distributions: intra‐HD (0.0157 ± 0.0061), mutual‐HD (0.2540 ± 0.0229), and inter‐HD (0.4986 ± 0.0149). This tri‐modal verification goes beyond a simple accept/reject decision, offering a more nuanced and robust authentication framework. The PUF exhibits excellent randomness, passing NIST statistical test. The practicality of this approach is further showcased through a proof‐of‐concept smartphone application. This work establishes a new paradigm for flexible, high‐security optical PUFs, holding significant promise for next‐generation IoT and authentication applications.

Advanced Functional MaterialsVol. 36(22)
Samsung (South Korea) (KR), Sungkyunkwan University (KR)
Openalex Percentile: Top 63%
Physical Unclonable Functions (PUFs) and Hardware Security
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