2021
DOI: 10.1002/smll.202100244
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Unclonable Micro‐Texture with Clonable Micro‐Shape towards Rapid, Convenient, and Low‐Cost Fluorescent Anti‐Counterfeiting Labels

Abstract: methods rely on clonable labels produced by a deterministic process. These labels are low-cost but their simple and repeatable preparation processes and regular decoding mechanisms are exploitable by counterfeiters. [4,5] Many of the more complex and safer anti-counterfeiting labels (such as high-end RFID labels with large number of logic gates) cannot become standard on some commonly used products due to their high cost. [5,6] Anti-counterfeiting labels with physical unclonable functions (PUF) are a feasible … Show more

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Cited by 43 publications
(44 citation statements)
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References 61 publications
(78 reference statements)
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“…Multi-functional luminescent materials with broad response to different excitation sources afford the various applications in the solid-state lighting device, [1][2][3][4][5][6][7][8][9][10][11][12][13] anti-counterfeiting, [14][15][16][17][18][19] optical refrigeration, [20,21] and X-ray detection. [22][23][24][25][26][27][28] Recently, anti-counterfeiting has become a serious global issue in our daily lives, commercial trade, intellectual property protection, document encryption, etc.…”
Section: Introductionmentioning
confidence: 99%
“…Multi-functional luminescent materials with broad response to different excitation sources afford the various applications in the solid-state lighting device, [1][2][3][4][5][6][7][8][9][10][11][12][13] anti-counterfeiting, [14][15][16][17][18][19] optical refrigeration, [20,21] and X-ray detection. [22][23][24][25][26][27][28] Recently, anti-counterfeiting has become a serious global issue in our daily lives, commercial trade, intellectual property protection, document encryption, etc.…”
Section: Introductionmentioning
confidence: 99%
“…[197] Security labels with physically unclonable function (PUF) have been proven to be one of the most reliable ways to protect the data security, which may offer a practical solution to be integrated with wearables for avoiding the privacy infringement. [198] This is because that the PUF features within the security labels that are impractical to duplicate can be easily converted to binary-bit codes, enabling unbreakable encryption. [199] Furthermore, We have already illustrated two vial strategies (deep learning and computer visions) to collect, analyze, and decode the output data during the process of manufacturing, distribution, supply, and end users.…”
Section: Privacy Protectionmentioning
confidence: 99%
“…The security label should also survive the inevitable ambient exposure in daily life 18,37 , such as mechanical abrasion, aqueous corrosion, and contamination. All these can be simply implemented by covering a protective layer like SiO2 or Al2O3 for the high-temperature situations, PMMA for the daily temperature situations, and so forth on the PUF tag according to the usage situations.…”
Section: Configurable Encoding Designmentioning
confidence: 99%
“…An automated image identification is appropriate for decoding the PUF tags. The conventional image processing algorithms are based on the matching of feature points in library files one by one 1,37 . Apart from the relatively tedious matching time, their performance also strongly depends on the image orientation and quality 36,38 .…”
Section: Introductionmentioning
confidence: 99%