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Dynamic Anti-Counterfeiting Labels with Enhanced Multi-Level Information Encryption.

Hang Chen1, Hailong Hu1,2, Beichen Sun1

  • 1Institute of Optoelectronic Technology, Fuzhou University, Fuzhou 350108, People's Republic of China.

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|December 21, 2022
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Summary
This summary is machine-generated.

This study introduces a novel dynamic optical anti-counterfeiting label using quantum dots and phosphors. This advanced label offers enhanced security through time-varying optical properties and unique physical unclonable functions (PUFs) for secure identification.

Keywords:
dynamic anti-counterfeitingfingerprint patterninformation encryptionlong afterglowphysical unclonable functionquantum dots

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Area of Science:

  • Materials Science
  • Optoelectronics
  • Information Security

Background:

  • Information encryption is crucial for anti-counterfeiting label security.
  • Current labels face challenges in multi-functionality, high security, low cost, and easy identification.
  • Dynamic optical properties offer a promising avenue for advanced anti-counterfeiting measures.

Purpose of the Study:

  • To develop a multi-dimensional, multi-level dynamic optical anti-counterfeiting label.
  • To enhance label security through time-varying optical characteristics and physical unclonable functions (PUFs).
  • To enable fast and accurate identification of authentic labels.

Main Methods:

  • Utilized inkjet and screen printing technologies.
  • Incorporated instantaneously luminescent quantum dots and long afterglow phosphors.
  • Developed self-assembled quantum dot patterns for PUF implementation.
  • Employed convolutional residual neural networks for information decoding.

Main Results:

  • Constructed a dynamic optical anti-counterfeiting label with time-varying color and luminous intensity.
  • Achieved enhanced information encryption via temporal dimension variations and PUFs.
  • Demonstrated fast and accurate label identification using neural networks.

Conclusions:

  • The developed label offers a high security factor and improved anti-counterfeiting capabilities.
  • The combination of dynamic optics and PUFs provides a robust solution for information encryption.
  • The use of neural networks facilitates efficient and reliable authentication.