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Bright and stable anti-counterfeiting devices with independent stochastic processes covering multiple length scales
Physical unclonable functions (PUFs) are considered the most promising approach to address the global issue of counterfeiting. Current PUF devices are often based on a single stochastic process, which can be broken, especially since their practical encoding capacities can be significantly lower than...
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Published in: | Nature communications 2025-01, Vol.16 (1), p.502-11, Article 502 |
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Main Authors: | , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | Physical unclonable functions (PUFs) are considered the most promising approach to address the global issue of counterfeiting. Current PUF devices are often based on a single stochastic process, which can be broken, especially since their practical encoding capacities can be significantly lower than the theoretical value. Here we present stochastic PUF devices with features across multiple length scales, which incorporate semiconducting polymer nanoparticles (SPNs) as fluorescent taggants. The SPNs exhibit high brightness, photostability and size tunability when compared to the current state-of-the-art taggants. As a result, they are easily detectable and highly resilient to UV radiation. By embedding SPNs in photoresists, we generate PUFs consisting of nanoscale (distribution of SPNs within microspots), microscale (fractal edges on microspots), and macroscale (random microspot array) designs. With the assistance of a deep-learning model, the resulting PUFs show both near-ideal performance and accessibility for general end users, offering a strategy for next-generation security devices.
Here, authors develop an anti-counterfeiting device using semiconducting polymer nanoparticles embedded in photoresist thin films. The device exhibits high brightness, stability, and encoding capacity, with promising uniqueness and reliability under UV exposure, high humidity, and temperature variations. |
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ISSN: | 2041-1723 2041-1723 |
DOI: | 10.1038/s41467-024-55646-4 |