IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v14y2023i1d10.1038_s41467-023-37588-5.html
   My bibliography  Save this article

Random fractal-enabled physical unclonable functions with dynamic AI authentication

Author

Listed:
  • Ningfei Sun

    (Beihang University
    National Center for Nanoscience and Technology & University of Chinese Academy of Sciences)

  • Ziyu Chen

    (Beihang University)

  • Yanke Wang

    (Karlsruhe Institute of Technology)

  • Shu Wang

    (National Center for Nanoscience and Technology & University of Chinese Academy of Sciences)

  • Yong Xie

    (Beihang University
    Beihang University)

  • Qian Liu

    (National Center for Nanoscience and Technology & University of Chinese Academy of Sciences)

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.

Suggested Citation

  • Ningfei Sun & Ziyu Chen & Yanke Wang & Shu Wang & Yong Xie & Qian Liu, 2023. "Random fractal-enabled physical unclonable functions with dynamic AI authentication," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-37588-5
    DOI: 10.1038/s41467-023-37588-5
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-023-37588-5
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-023-37588-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Jung Woo Leem & Min Seok Kim & Seung Ho Choi & Seong-Ryul Kim & Seong-Wan Kim & Young Min Song & Robert J. Young & Young L. Kim, 2020. "Edible unclonable functions," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
    2. Min Seok Kim & Gil Ju Lee & Jung Woo Leem & Seungho Choi & Young L. Kim & Young Min Song, 2022. "Revisiting silk: a lens-free optical physical unclonable function," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    3. Peter Aldhous, 2005. "Murder by medicine," Nature, Nature, vol. 434(7030), pages 132-134, March.
    4. Yuqing Gu & Chang He & Yuqing Zhang & Li Lin & Benjamin David Thackray & Jian Ye, 2020. "Gap-enhanced Raman tags for physically unclonable anticounterfeiting labels," Nature Communications, Nature, vol. 11(1), pages 1-13, December.
    5. Jie Yin & Mary C. Boyce, 2015. "Unique wrinkles as identity tags," Nature, Nature, vol. 520(7546), pages 164-165, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Junfang Zhang & Rong Tan & Yuxin Liu & Matteo Albino & Weinan Zhang & Molly M. Stevens & Felix F. Loeffler, 2024. "Printed smart devices for anti-counterfeiting allowing precise identification with household equipment," Nature Communications, Nature, vol. 15(1), pages 1-9, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kun Wang & Jianwei Shi & Wenxuan Lai & Qiang He & Jun Xu & Zhenyi Ni & Xinfeng Liu & Xiaodong Pi & Deren Yang, 2024. "All-silicon multidimensionally-encoded optical physical unclonable functions for integrated circuit anti-counterfeiting," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    2. Junfang Zhang & Rong Tan & Yuxin Liu & Matteo Albino & Weinan Zhang & Molly M. Stevens & Felix F. Loeffler, 2024. "Printed smart devices for anti-counterfeiting allowing precise identification with household equipment," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
    3. Minye Yang & Liang Zhu & Qi Zhong & Ramy El-Ganainy & Pai-Yen Chen, 2023. "Spectral sensitivity near exceptional points as a resource for hardware encryption," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    4. Tongtong Zhang & Lingzhi Wang & Jing Wang & Zhongqiang Wang & Madhav Gupta & Xuyun Guo & Ye Zhu & Yau Chuen Yiu & Tony K. C. Hui & Yan Zhou & Can Li & Dangyuan Lei & Kwai Hei Li & Xinqiang Wang & Qi W, 2023. "Multimodal dynamic and unclonable anti-counterfeiting using robust diamond microparticles on heterogeneous substrate," Nature Communications, Nature, vol. 14(1), pages 1-11, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-37588-5. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.