journal article·2024-12

Selective Up‐ and Down‐Conversion Luminescence for Nonlinear Expansion of Unclonable Parameter Space

Dong Wook Kim, Jaehyuck Jang, Jung Woo Leem, Heechang Yun, Byoungsu Ko, Ik‐Soo Kim, Hyeji Park, Young L. Kim, Junsuk Rho, Unyong Jeong

Advanced Optical Materials· Volume 12· Issue 36
Publisher page

Abstract

Abstract Optical physical unclonable functions (PUFs) have attracted considerable attention as an immediately exploitable cryptographic primitive for high‐level hardware security attributed to their potential for implementing a large parameter space through the incorporation of robust optical phenomena. However, previous optical PUFs primarily relied on linear and single‐channel optical processes, requiring an increase in the number of optical inputs (materials or wavelengths) in a monotonous manner to scale up challenge‐response pairs. Herein, an optical PUF capable of nonlinearly expanding the parameter space to enhance the cryptographic strength through the selective adjustment of up‐ and down‐conversion luminescence is introduced. The nonlinearity in the expansion of the parameter space originates from a random distribution of three types of microspheres, with their shells designed to exhibit various positional arrangements of upconversion nanoparticles and perovskite crystals. Because energy and photon interactions depend on their positional proximity and excitation power, adjusting the two excitation inputs into five power steps enables the single PUF to generate 30 unique cryptographic keys, which is 15 times greater than what a linear system can offer. The PUF also demonstrates high stability, maintaining its cryptographic performance when exposed to heat, moisture, and long‐term laser excitation, underscoring its practical applicability in security protocols.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Physical Unclonable Functions (PUFs) and Hardware Security · bioluminescence and chemiluminescence research · Neuroscience and Neural Engineering

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Physical Intelligence Department Max Planck Institute for Intelligent Systems 70569 Stuttgart Germany

Department of Materials Science and Engineering Pohang University of Science and Technology (POSTECH) Pohang 37673 Republic of Korea

Department of Chemical Engineering Pohang University of Science and Technology (POSTECH) Pohang 37673 Republic of Korea

Weldon School of Biomedical Engineering Purdue University West Lafayette IN 47907 USA

Department of Mechanical Engineering Pohang University of Science and Technology (POSTECH) Pohang 37673 Republic of Korea

Purdue Quantum Science and Engineering Institute West Lafayette IN 47907 USA

Department of Electrical Engineering Pohang University of Science and Technology (POSTECH) Pohang 37673 Republic of Korea

POSCO‐POSTECH‐RIST Convergence Research Center for Flat Optics and Metaphotonics Pohang 37673 Republic of Korea

Funding

National Research Foundation of Korea · POSCO TJ Park Foundation · Ministry of Science and ICT, South Korea

References (50)

Show source-provided references
1. 10.1038/s41928-020-0372-510.1038/s41928-020-0372-5 ↗
2. 10.1063/1.507940710.1063/1.5079407 ↗
3. 10.1109/ACCESS.2015.250343210.1109/ACCESS.2015.2503432 ↗
4. 10.1109/JPROC.2014.232051610.1109/JPROC.2014.2320516 ↗
5. 10.1038/s41467-019-14066-510.1038/s41467-019-14066-5 ↗
6. 10.1002/adma.20210254210.1002/adma.202102542 ↗
7. 10.1002/adma.20230600310.1002/adma.202306003 ↗
8. 10.1021/acsanm.0c0336710.1021/acsanm.0c03367 ↗
9. 10.1002/adfm.20210867510.1002/adfm.202108675 ↗
10. 10.1038/s41467-019-14070-910.1038/s41467-019-14070-9 ↗
11. 10.1038/s41467-019-10406-710.1038/s41467-019-10406-7 ↗
12. 10.1016/j.cej.2020.12835010.1016/j.cej.2020.128350 ↗
13. 10.1126/science.107437610.1126/science.1074376 ↗
14. 10.1038/s41467-021-27278-510.1038/s41467-021-27278-5 ↗
15. 10.1038/s41467-023-37588-510.1038/s41467-023-37588-5 ↗
16. 10.1002/adma.20221229410.1002/adma.202212294 ↗
17. 10.1038/nnano.2016.110.1038/nnano.2016.1 ↗
18. 10.1038/s41467-020-19324-510.1038/s41467-020-19324-5 ↗
19. 10.1038/s41928-022-00788-w10.1038/s41928-022-00788-w ↗
20. 10.1016/j.jaad.2020.04.14710.1016/j.jaad.2020.04.147 ↗
21. 10.1364/BOE.9.00190610.1364/BOE.9.001906 ↗
22. 10.1038/s41467-018-05947-210.1038/s41467-018-05947-2 ↗
23. 10.1021/acsami.1c1471110.1021/acsami.1c14711 ↗
24. 10.1039/C9TC00309F10.1039/C9TC00309F ↗
25. 10.1002/adfm.20200376610.1002/adfm.202003766 ↗
26. 10.1002/adfm.20180178210.1002/adfm.201801782 ↗
27. 10.1039/C9TC01346F10.1039/C9TC01346F ↗
28. 10.1021/jp106120d10.1021/jp106120d ↗
29. 10.1021/acs.jpcc.8b0490810.1021/acs.jpcc.8b04908 ↗
30. 10.1021/acsnano.9b0610210.1021/acsnano.9b06102 ↗
31. 10.1002/anie.20160590910.1002/anie.201605909 ↗
32. 10.1002/adma.20090409310.1002/adma.200904093 ↗
33. 10.1021/acsnano.1c0914010.1021/acsnano.1c09140 ↗
34. 10.1038/nnano.2013.17110.1038/nnano.2013.171 ↗
35. 10.1021/acs.nanolett.5b0283010.1021/acs.nanolett.5b02830 ↗
36. 10.1016/j.jcis.2023.06.03410.1016/j.jcis.2023.06.034 ↗
37. 10.1021/jp052192w10.1021/jp052192w ↗
38. 10.1002/smll.20160178510.1002/smll.201601785 ↗
39. 10.1038/s41467-019-08425-510.1038/s41467-019-08425-5 ↗
40. 10.1039/C8TC06063K10.1039/C8TC06063K ↗
41. 10.1039/b919700a10.1039/b919700a ↗
42. Orthaus S. · 2009
43. 10.1021/la500184210.1021/la5001842 ↗
44. 10.1063/1.496389310.1063/1.4963893 ↗
45. 10.1364/OL.42.00361810.1364/OL.42.003618 ↗
46. 10.1038/s41586-020-03092-910.1038/s41586-020-03092-9 ↗
47. 10.1007/s13389-016-0125-610.1007/s13389-016-0125-6 ↗
48. A.Rukhin J.Soto J.Nechvatal S.Miles E.Barker S.Leigh M.Levenson M.Vangel D.Banks A.Heckert J.Dray S.Vo NIST Special Publication2010 800 Revision 1a.
49. 10.1038/s41570-017-003110.1038/s41570-017-0031 ↗
50. 10.1021/acsnano.3c1030810.1021/acsnano.3c10308 ↗