Voxelated opto-physically unclonable functions via irreplicable wrinkles

Kitae Kim; Se-Um Kim; Moon-Young Choi; Mohsin Hassan Saeed; Youngmin Kim; Jun-Hee Na

doi:10.1038/s41377-023-01285-1

Go to Nature Website

Your Location：

Home >

Browse articles >

Voxelated opto-physically unclonable functions via irreplicable wrinkles

Original Articles

- Voxelated opto-physically unclonable functions via irreplicable wrinkles
- Voxelated opto-physically unclonable functions via irreplicable wrinkles
- LSA 2023年12卷第11期页码：2378-2390
- Affiliations：
  
  1.Department of Convergence System Engineering, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 34134, Republic of Korea
  2.Department of Electrical and Information Engineering, Seoul National University of Science & Technology, 232 Gongneung-ro, Nowon-gu, Seoul 01811, Republic of Korea
  3.Department of Electrical, Electronics, and Communication Engineering Education, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 34134, Republic of Korea
  4.Hologram Research Center, Korea Electronics Technology Institute, World Cup buk-ro 54-gil, Mapo-gu, Seoul 03924, Republic of Korea
- Author bio：
  
  Jun-Hee Na (junhee.na@cnu.ac.kr)
- Funds：
- DOI：10.1038/s41377-023-01285-1
  中图分类号：
- 纸质出版日期：2023-11-30，
  
  网络出版日期：2023-10-03，
  
  收稿日期：2023-06-14，
  
  修回日期：2023-08-30，
  
  录用日期：2023-09-07
- Accepted：
Scan QR Code
Voxelated opto-physically unclonable functions via irreplicable wrinkles[J]. LSA, 2023,12(11):2378-2390.

Kim, K. et al. Voxelated opto-physically unclonable functions via irreplicable wrinkles. Light: Science & Applications, 12, 2378-2390 (2023).
Voxelated opto-physically unclonable functions via irreplicable wrinkles[J]. LSA, 2023,12(11):2378-2390. DOI： 10.1038/s41377-023-01285-1.

Kim, K. et al. Voxelated opto-physically unclonable functions via irreplicable wrinkles. Light: Science & Applications, 12, 2378-2390 (2023). DOI： 10.1038/s41377-023-01285-1.

摘要

Abstract

The increased prevalence of the Internet of Things (IoT) and the integration of digital technology into our daily lives have given rise to heightened security risks and the need for more robust security measures. In response to these challenges

physical unclonable functions (PUFs) have emerged as promising solution

offering a highly secure method to generate unpredictable and unique random digital values by leveraging inherent physical characteristics. However

traditional PUFs implementations often require complex hardware and circuitry

which can add to the cost and complexity of the system. We present a novel approach using a random wrinkles PUF (rw-PUF) based on an optically anisotropic

facile

simple

and cost-effective material. These wrinkles contain randomly oriented liquid crystal molecules

resulting in a two-dimensional retardation map corresponding to a complex birefringence pattern. Additionally

our proposed technique allows for customization based on specific requirements using a spatial light modulator

enabling fast fabrication. The random wrinkles PUF has the capability to store multiple data sets within a single PUF without the need for physical alterations. Furthermore

we introduce a concept called 'polyhedron authentication

' which utilizes three-dimensional information storage in a voxelated random wrinkles PUF. This approach demonstrates the feasibility of implementing high-level security technology by leveraging the unique properties of the rw-PUF.

关键词

Keywords

references

Liao, H. J. et al. Intrusion detection system: a comprehensive review.J. Netw. Comput. Appl.36, 16–24 (2013)..

HaddadPajouh, H. etal. A survey on internet of things security: requirements, challenges, and solutions.Internet Things14, 100129 (2021)..

Singh, A., Sharma, S.&Singh, J. Nature-inspired algorithms for wireless sensor networks: a comprehensive survey.Comput. Sci. Rev.39, 100342 (2021)..

Zheng, Z. B. et al. An overview of blockchain technology: architecture, consensus, and future trends.2017 IEEE International Congress on Big Data (BigData Congress). 557-564 (IEEE, 2017).

Mahmood, T.&Afzal, U. Security analytics: big data analytics for cybersecurity: a review of trends, techniques and tools.2013 2nd National Conference on Information Assurance (NCIA). p. 129-134 (IEEE, 2013).

Deep, S. et al. A survey of security and privacy issues in the internet of things from the layered context.Trans. Emerg. Telecommun. Technol.33, e3935 (2022)..

Philip, N. Y. et al. Internet of things for in-home health monitoring systems: current advances, challenges and future directions.IEEE J. Sel. Areas Commun.39, 300–310 (2021)..

Yang, M. Y. et al. Spectral sensitivity near exceptional points as a resource for hardware encryption.Nat. Commun.14, 1145 (2023)..

Shaukat, K. et al. A survey on machine learning techniques for cyber security in the last decade.IEEE Access8, 222310–222354 (2020)..

Nafea, R. A.&Amin Almaiah, M. Cyber security threats in cloud: literature review.2021 International Conference on Information Technology (ICIT). p. 779-786 (IEEE, 2021).

Shamshirband, S. et al. Computational intelligence intrusion detection techniques in mobile cloud computing environments: review, taxonomy, and open research issues.J. Inf. Security Appl.55, 102582 (2020)..

Kolberg, J. et al. Efficiency analysis of post-quantum-secure face template protection schemes based on homomorphic encryption.2020 International Conference of the Biometrics Special Interest Group (BIOSIG). 1-4 (IEEE, 2020).

Gao, Y. S., Al-Sarawi, S. F.&Abbott, D. Physical unclonable functions.Nat. Electron.3, 81–91 (2020)..

Aniello, L. et al. Anti-BlUFf: towards counterfeit mitigation in IC supply chains using blockchain and PUF.Int. J. Inf. Secur.20, 445–460 (2021)..

Larimian, S., Mahmoodi, M. R.&Strukov, D. B. Lightweight integrated design of PUF and TRNG security primitives based on eflash memory in 55-nm CMOS.IEEE Trans. Electron Dev.67, 1586–1592 (2020)..

Zhang, J. L.&Qu, G. Physical unclonable function-based key sharing via machine learning for IoT security.IEEE Trans. Ind. Electron.67, 7025–7033 (2020)..

Merli, D., Stumpf, F.&Eckert, C. Improving the quality of ring oscillator PUFs on FPGAs. Proceedings of the 5th Workshop on Embedded Systems Security. p. 9 (ACM, 2010).

Herder, C. et al. Physical unclonable functions and applications: a tutorial.Proc. IEEE102, 1126–1141 (2014)..

Gao, Y. S. et al. Emerging physical unclonable functions with nanotechnology.IEEE Access4, 61–80 (2016)..

Sala, R. D. et al. A monostable physically unclonable function based on improved RCCMs with 0–1.56% native bit instability at 0.6–1.2 V and 0–75 ℃.Electronics12, 755 (2023)..

Aghaie, A.&Moradi, A. TI-PUF: toward side-channel resistant physical unclonable functions.IEEE Trans. Inf. Forensics Secur.15, 3470–3481 (2020)..

Babaei, A.&Schiele, G. Physical unclonable functions in the internet of things: state of the art and open challenges.Sensors19, 3208 (2019)..

Cui, Y. J. et al. Programmable ring oscillator PUF based on switch matrix.2020 IEEE International Symposium on Circuits and Systems. p. 1-4 (IEEE, 2020).

Zhang, J. L. et al. A survey on silicon PUFs and recent advances in ring oscillator PUFs.J. Comput. Sci. Technol.29, 664–678 (2014)..

Suh, G. E.&Devadas, S. Physical unclonable functions for device authentication and secret key generation.2007 44th ACM/IEEE Design Automation Conference. p. 9-14 (IEEE, 2007).

Mesaritakis, C. et al. Physical unclonable function based on a multi-mode optical waveguide.Sci. Rep.8, 9653 (2018)..

Kim, M. S. et al. Revisiting silk: a lens-free optical physical unclonable function.Nat. Commun.13, 247 (2022)..

Jeong, J. S. et al. Bio-inspired electronic fingerprint PUF device with single-walled carbon nanotube network surface mediated by M13 bacteriophage template.Sci. Rep.12, 20096 (2022)..

Carro-Temboury, M. R. et al. An optical authentication system based on imaging of excitation-selected lanthanide luminescence.Sci. Adv.4, e17013 (2018)..

Wali, A. et al. Biological physically unclonable function.Commun. Phys.2, 39 (2019)..

Wan, Y. B. et al. Bionic optical physical unclonable functions for authentication and encryption.J. Mater. Chem. C9, 13200–13208 (2021)..

Lin, S. Y. et al. Photo-triggered full-color circularly polarized luminescence based on photonic capsules for multilevel information encryption.Nat. Commun.14, 3005 (2023)..

Liu, J. et al. Circularly polarized luminescence in chiral orientationally ordered soft matter systems.Responsive Mater. https://doi.org/10.1002/rpm.20230005 (2023).

Yan, X. D. et al. Effects of silver nanoparticle doping on the electro-optical properties of polymer stabilized liquid crystal devices.Liq. Cryst.47, 1131–1138 (2020)..

Saeed, M. H. et al. Recent advances in the polymer dispersed liquid crystal composite and its applications.Molecules25, 5510 (2020)..

Kim, Y. et al. Reconfigurable multilevel optical puf by spatiotemporally programmed crystallization of supersaturated solution.Adv. Mater.35, 2212294 (2023)..

Park, S. M., Park, G.&Yoon, D. K. Paintable physical unclonable functions using DNA.Adv. Mater. https://doi.org/10.1002/adma.202302135 (2023).

Park, G. et al. Planar spin glass with topologically protected mazes in the liquid crystal targeting for reconfigurable micro security media.Adv. Mater. https://doi.org/10.1002/adma.202303077 (2023).

Cao, S. S. et al. Shape-dependent biodistribution of biocompatible silk microcapsules.ACS Appl. Mater. Interfaces11, 5499–5508 (2019)..

Kim, K. et al. High-definition optophysical image construction using mosaics of pixelated wrinkles.Adv. Sci.7, 2002134 (2020)..

Kang, S. H. et al. Self-organized anisotropic wrinkling of molecularly aligned liquid crystalline polymer.Langmuir28, 3576–3582 (2012)..

Sim, J. et al. Self-organized wrinkling of liquid crystalline polymer with plasma treatment.J. Mater. Res.33, 4092–4100 (2018)..

Bisoyi, H. K.&Li, Q. Liquid crystals: versatile self-organized smart soft materials.Chem. Rev.122, 4887–4926 (2022)..

Im, S. H.&Huang, R. Wrinkle patterns of anisotropic crystal films on viscoelastic substrates.J. Mech. Phys. Solids56, 3315–3330 (2008)..

Chattopadhyay, S. Biaxially stretchable "wavy" silicon nanomembranes on elastomeric supports fabricated.MRS Bull.32, 606 (2007)..

Hobart, K. D. et al. Compliant substrates: a comparative study of the relaxation mechanisms of strained films bonded to high and low viscosity oxides.J. Electron. Mater.29, 897–900 (2000)..

Sauvola, J.&Pietikäinen, M. Adaptive document image binarization.Pattern Recognit.33, 225–236 (2000)..

Bruneau, N. et al. Development of the unified security requirements of PUFs during the standardization process.11th International Conference on Innovative Security Solutions for Information Technology and Communications. p. 314-330 (Springer, 2019).

Pappu, R. et al. Physical one-way functions.Science297, 2026–2031 (2002)..

Sadr, A.&Zolfaghari-Nejad, M. Weighted hamming distance for PUF performance evaluation.Electron. Lett.49, 1376–1378 (2013)..

Hu, Z. Y. et al. Physically unclonable cryptographic primitives using self-assembled carbon nanotubes.Nat. Nanotechnol.11, 559–565 (2016)..

Lee, S. U., Yoon Chung, S.&Park, R. H. A comparative performance study of several global thresholding techniques for segmentation.Computer Vis. Graph. Image Process.52, 171–190 (1990)..

Roy, P. et al. Adaptive thresholding: a comparative study.2014 International Conference on Control, Instrumentation, Communication and Computational Technologies. p. 1182-1186 (IEEE, 2014).

Bradley, D.&Roth, G. Adaptive thresholding using the integral image.J. Graph. Tools12, 13–21 (2007)..

浏览量

Downloads

CSCD

文章被引用时，请邮件提醒。

Submit

工具集

关联资源

暂无数据