Evidence map›Paper›PMID 37069144›Full record

ArticleNature communications2023

Random fractal-enabled physical unclonable functions with dynamic AI authentication.

Ningfei Sun, Ziyu Chen, Yanke Wang, Shu Wang, Yong Xie, Qian Liu

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Inkjet-Printed Physical Unclonable Functions For Secure Authentication.Small (Weinheim an der Bergstrasse, Germany) · 2026
    Article
  5. Article
  6. Designing Physical Unclonable Functions From Optically Active Materials.Advanced materials (Deerfield Beach, Fla.) · 2025
    Review
  7. Article
  8. Bio-Inspired Structural Color Irises as Physical Unclonable Functions for Anti-Counterfeiting.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Nanoscale Silicon Fingerprints for Counterfeit Prevention in Microchips.Small (Weinheim an der Bergstrasse, Germany) · 2025
    Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Ultradurable Embedded Physically Unclonable Functions.ACS applied materials & interfaces · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Ningfei SunSchool of Physics, Beihang University, Beijing, 100191, China.ORCID http://orcid.org/0000-0001-8950-1239
Ziyu ChenSchool of Physics, Beihang University, Beijing, 100191, China.ORCID http://orcid.org/0000-0002-3285-2457
Yanke WangInstitute for Automation and Applied Informatics, Karlsruhe Institute of Technology, Karlsruhe, 76344, Germany.ORCID http://orcid.org/0000-0003-1740-5269
Shu WangCAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology & University of Chinese Academy of Sciences, Beijing, 100190, China.
Yong XieSchool of Physics, Beihang University, Beijing, 100191, China. xiey@buaa.edu.cn.ORCID http://orcid.org/0000-0003-3574-2883
Qian LiuCAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology & University of Chinese Academy of Sciences, Beijing, 100190, China. liuq@nanoctr.cn.ORCID http://orcid.org/0000-0001-5735-246X

Funding

National Natural Science Foundation of China (National Science Foundation of China) 11774018National Natural Science Foundation of China (National Science Foundation of China) 51971070,10974037Natural Science Foundation of Beijing Municipality (Beijing Natural Science Foundation) 2202026
6 · The paper itself

Abstract

A physical unclonable function (PUF) is a foundation of anti-counterfeiting processes due to its inherent uniqueness. However, the self-limitation of conventional graphical/spectral PUFs in materials often makes it difficult to have both high code flexibility and high environmental stability in practice. In this study, we propose a universal, fractal-guided film annealing strategy to realize the random Au network-based PUFs that can be designed on demand in complexity, enabling the tags' intrinsic uniqueness and stability. A dynamic deep learning-based authentication system with an expandable database is built to identify and trace the PUFs, achieving an efficient and reliable authentication with 0% "false positives". Based on the roughening-enabled plasmonic network platform, Raman-based chemical encoding is conceptionally demonstrated, showing the potential for improvements in security. The configurable tags in mass production can serve as competitive PUF carriers for high-level anti-counterfeiting and data encryption.

Identifiers

PMID37069144
PMCPMC10110537

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.