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author:

Chen, Hang (Chen, Hang.) [1] | Hu, Hailong (Hu, Hailong.) [2] (Scholars:胡海龙) | Sun, Beichen (Sun, Beichen.) [3] | Zhao, Haobing (Zhao, Haobing.) [4] | Qie, Yuan (Qie, Yuan.) [5] | Luo, Zhiqi (Luo, Zhiqi.) [6] | Pan, Youjiang (Pan, Youjiang.) [7] | Chen, Wei (Chen, Wei.) [8] (Scholars:陈伟) | Lin, Lihua (Lin, Lihua.) [9] (Scholars:林丽华) | Yang, Kaiyu (Yang, Kaiyu.) [10] (Scholars:杨开宇) | Guo, Tailiang (Guo, Tailiang.) [11] (Scholars:郭太良) | Li, Fushan (Li, Fushan.) [12] (Scholars:李福山)

Indexed by:

EI SCIE

Abstract:

Information encryption is an important means to improve the security of anti-counterfeiting labels. At present, it is still challenging to realize an anti-counterfeiting label with multi-function, high security factor, low production cost, and easy detection and identification. Herein, using inkjet and screen printing technology, we construct a multi-dimensional and multi-level dynamic optical anti counterfeiting label based on instantaneously luminescent quantum dots and long afterglow phosphor, whose color and luminous intensity varied in response to time. Self-assembled quantum dot patterns with intrinsic fingerprint information endow the label with physical unclonable functions (PUFs), and the information encryption level of the label is significantly improved in view of the information variation in the temporal dimension. Furthermore, the convolutional residual neural networks are used to decode the massive information of PUFs, enabling fast and accurate identification of the anti-counterfeit labels.

Keyword:

dynamic anti-counterfeiting fingerprint pattern information encryption long afterglow physical unclonable function quantum dots

Community:

  • [ 1 ] [Chen, Hang]Fuzhou Univ, Inst Optoelect Technol, Fuzhou 350108, Peoples R China
  • [ 2 ] [Hu, Hailong]Fuzhou Univ, Inst Optoelect Technol, Fuzhou 350108, Peoples R China
  • [ 3 ] [Sun, Beichen]Fuzhou Univ, Inst Optoelect Technol, Fuzhou 350108, Peoples R China
  • [ 4 ] [Zhao, Haobing]Fuzhou Univ, Inst Optoelect Technol, Fuzhou 350108, Peoples R China
  • [ 5 ] [Qie, Yuan]Fuzhou Univ, Inst Optoelect Technol, Fuzhou 350108, Peoples R China
  • [ 6 ] [Luo, Zhiqi]Fuzhou Univ, Inst Optoelect Technol, Fuzhou 350108, Peoples R China
  • [ 7 ] [Pan, Youjiang]Fuzhou Univ, Inst Optoelect Technol, Fuzhou 350108, Peoples R China
  • [ 8 ] [Chen, Wei]Fuzhou Univ, Inst Optoelect Technol, Fuzhou 350108, Peoples R China
  • [ 9 ] [Lin, Lihua]Fuzhou Univ, Inst Optoelect Technol, Fuzhou 350108, Peoples R China
  • [ 10 ] [Yang, Kaiyu]Fuzhou Univ, Inst Optoelect Technol, Fuzhou 350108, Peoples R China
  • [ 11 ] [Guo, Tailiang]Fuzhou Univ, Inst Optoelect Technol, Fuzhou 350108, Peoples R China
  • [ 12 ] [Li, Fushan]Fuzhou Univ, Inst Optoelect Technol, Fuzhou 350108, Peoples R China
  • [ 13 ] [Hu, Hailong]Fujian Sci & Technol Innovat Lab Optoelect Informa, Fuzhou 350116, Peoples R China
  • [ 14 ] [Lin, Lihua]Fujian Sci & Technol Innovat Lab Optoelect Informa, Fuzhou 350116, Peoples R China
  • [ 15 ] [Guo, Tailiang]Fujian Sci & Technol Innovat Lab Optoelect Informa, Fuzhou 350116, Peoples R China
  • [ 16 ] [Li, Fushan]Fujian Sci & Technol Innovat Lab Optoelect Informa, Fuzhou 350116, Peoples R China

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Source :

ACS APPLIED MATERIALS & INTERFACES

ISSN: 1944-8244

Year: 2022

9 . 5

JCR@2022

8 . 5 0 0

JCR@2023

ESI Discipline: MATERIALS SCIENCE;

ESI HC Threshold:91

JCR Journal Grade:1

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count: 40

SCOPUS Cited Count: 44

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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