Gradient-Wrinkled Microparticle with Grayscale Lithography Controlling the Cross-Linking Densities for High Security Level Anti-Counterfeiting Strategies.

ACS Omega

Institute for Wearable Convergence Electronics, Department of Electronic Engineering, Kyung Hee University, Yongin-si, Gyeonggi-do 17104, Republic of Korea.

Published: January 2021

AI Article Synopsis

  • Physical unclonable functions (PUFs) provide unique identifiers that enhance product security and prevent counterfeiting, but traditional methods often use multiple security features instead of focusing on one.
  • This paper introduces a novel anti-counterfeiting strategy utilizing labyrinth wrinkle patterns of varying complexities as unique codes, which are created through a precise fabrication process that controls the characteristics of the polymer substrate.
  • The authors validate the uniqueness of these codes through cross-correlation analysis and demonstrate their effectiveness in authentication by decoding these codes at different scanning resolutions, suggesting a versatile approach to security code generation.

Article Abstract

Physical unclonable functions (PUFs) enable different characteristics according to the purpose, such as easy to access identification, high security level, and high code capacity, against counterfeiting a product. However, most multiplex approaches have been implemented by embedding several security features rather than one feature. In this paper, we present a high security level anti-counterfeiting strategy using only labyrinth wrinkle patterns with different complexities, which can be used as unique and unclonable codes. To generate codes with different levels in a microtaggant, we fabricated wrinkle patterns with characteristic wavelength gradients using grayscale lithography. The elastic modulus of the polymer substrate and corresponding wavelength after the wrinkling process were controlled by designing the gray level of each subcode region in a gray-level mask image for photopolymerization of the microparticle substrate. We then verified the uniqueness of the extracted minutia codes through a cross-correlation analysis. Finally, we demonstrated the authentication strategies by decoding different minutia codes according to the scanning resolution during the decoding. Overall, the presented patterning method can be widely used in security code generation.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7841948PMC
http://dx.doi.org/10.1021/acsomega.0c05207DOI Listing

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