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Sol-gel processed Y2O3 embedded capacitor based physically unclonable function

delete2023-12-01
delete0
PRE
AI
D
Dong-Hoon Lee
J
Jungha Lee
M
Minhye Shin
D
Duhee Kim
J
Junhee Lee
M
Murali Bissannagari
W
Woongki Hong
J
Jae Eun Jang
J
Jaewon Jang *
H
Hongki Kang *
DOI:10.1016/j.mssp.2023.107860delete
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Abstract

Abstract

En 中文
Physical unclonable function (PUF) can create unique signatures for each manufactured microelectronics system, utilizing the random variations during microfabrication. It has been reported that the natural physical randomness of nanomaterials or nanostructures can be a unique source of variation while fabricated at low temperatures. In this work, we suggest that the natural randomness of the sol-gel coating method of a high-k dielectric nanofilm can be used as the source of electrical PUF methodology. We embedded sol-gel processed yttrium oxide (Y2O3) film into insulator layers forming thin-film capacitors. Because of the morphological variation of the sol-gel processed Y2O3 film, device-to-device variation of the permittivity naturally occurred, resulting in more variation of the capacitances and thus improved PUF uniqueness. For electrically read-out of PUF information, we integrated the capacitor PUFs into thin-film transistors (TFTs), confirming significantly more variation of the drain current in the subthreshold region of the TFTs with the embedded Y2O3 sol-gel film. With the solution processibility and low-temperature processing used in this work, the PUFs in this work can be integrated into the backend-of-the-line of CMOS integrated circuits or flexible electronics for enhanced security functionalities in the distributed sensors and wearable/biomedical electronic devices.
Keywords:
Physically unclonable function
Sol-gel process
Capacitors
Thin-film transistors
Security applications
Backend of the line

Journal

Materials Science in Semiconductor Processing cover
Materials Science in Semiconductor Processing
IF:
4.6
Papers:
1.0W
Citations:
2.2W

Organization

K
kyungpook national university (knu)
Scholars:
1.8W
Papers: 1.8W
Citations: 14
Cited Papers

Cited Papers

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Plasmonic Anticounterfeit Tags with High Encoding Capacity Rapidly Authenticated with Deep Machine Learning
err2021-02-09
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errSmith, Joshua D.; Reza, Md Alimoor; Smith, Nathanael L.; Gu, Jianxin; Ibrar, Maha; Crandall, David J.; Skrabalak, Sara E.
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Nano-electromechanical Switch Based on a Physical Unclonable Function for Highly Robust and Stable Performance in Harsh Environments
err2017-12-13
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errHwang, Kyu-Man; Park, Jun-Young; Bae, Hagyoul; Lee, Seung-Wook; Kim, Choong-Ki; Seo, Myungsoo; Im, Hwon; Kim, Do-Hyun; Kim, Seong-Yeon; Lee, Geon-Beom; Choi, Yang-Kyu
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