Demonstration of high-reconfigurability and low-power strong physical unclonable function empowered by FeFET cycle-to-cycle variation and charge-domain computing
Abstract Physical unclonable functions (PUFs) are of immense potential in authentication scenarios for Internet of Things (IoT) devices. For creditable and lightweight PUF applications, key attributes, including low power, high reconfigurability and large challenge-response pair (CRP) space, are des...
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Nature Portfolio
2025-01-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-024-55380-x |
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author | Taixin Li Xinrui Guo Franz Müller Sukhrob Abdulazhanov Xiaoyang Ma Hongtao Zhong Yongpan Liu Vijaykrishnan Narayanan Huazhong Yang Kai Ni Thomas Kämpfe Xueqing Li |
author_facet | Taixin Li Xinrui Guo Franz Müller Sukhrob Abdulazhanov Xiaoyang Ma Hongtao Zhong Yongpan Liu Vijaykrishnan Narayanan Huazhong Yang Kai Ni Thomas Kämpfe Xueqing Li |
author_sort | Taixin Li |
collection | DOAJ |
description | Abstract Physical unclonable functions (PUFs) are of immense potential in authentication scenarios for Internet of Things (IoT) devices. For creditable and lightweight PUF applications, key attributes, including low power, high reconfigurability and large challenge-response pair (CRP) space, are desirable. Here, we report a ferroelectric field-effect transistor (FeFET)-based strong PUF with high reconfigurability and low power, which leverages the FeFET cycle-to-cycle variation throughout the workflow and introduces charge-domain in-memory computing. The proposed PUF cells are fabricated at 28 nm node, and the experimental measurements reveal high uniformity, uniqueness and repeatability. Remarkably, our PUF achieves near-ideal reconfigurability and ultra-low 1.89fJ per bit readout energy, significantly outperforming the state-of-the-art PUFs. Furthermore, we show that the PUF is robust against parameter variations and resilient to machine learning (ML) attacks. These performances highlight the great promise of the FeFET-based strong PUF as a feasible IoT security solution. |
format | Article |
id | doaj-art-44c1e48ece264529a441da81543706ed |
institution | Kabale University |
issn | 2041-1723 |
language | English |
publishDate | 2025-01-01 |
publisher | Nature Portfolio |
record_format | Article |
series | Nature Communications |
spelling | doaj-art-44c1e48ece264529a441da81543706ed2025-01-05T12:39:16ZengNature PortfolioNature Communications2041-17232025-01-0116111310.1038/s41467-024-55380-xDemonstration of high-reconfigurability and low-power strong physical unclonable function empowered by FeFET cycle-to-cycle variation and charge-domain computingTaixin Li0Xinrui Guo1Franz Müller2Sukhrob Abdulazhanov3Xiaoyang Ma4Hongtao Zhong5Yongpan Liu6Vijaykrishnan Narayanan7Huazhong Yang8Kai Ni9Thomas Kämpfe10Xueqing Li11Department of Electronic Engineering, BNRist/LFET, Tsinghua UniversityDepartment of Electronic Engineering, BNRist/LFET, Tsinghua UniversityCenter Nanoelectronic Technologies, Fraunhofer IPMSCenter Nanoelectronic Technologies, Fraunhofer IPMSDepartment of Electrical and Computer Engineering, Princeton UniversityDepartment of Electronic Engineering, BNRist/LFET, Tsinghua UniversityDepartment of Electronic Engineering, BNRist/LFET, Tsinghua UniversityDepartment of Computer Science and Engineering, The Pennsylvania State UniversityDepartment of Electronic Engineering, BNRist/LFET, Tsinghua UniversityDepartment of Electrical Engineering, University of Notre DameCenter Nanoelectronic Technologies, Fraunhofer IPMSDepartment of Electronic Engineering, BNRist/LFET, Tsinghua UniversityAbstract Physical unclonable functions (PUFs) are of immense potential in authentication scenarios for Internet of Things (IoT) devices. For creditable and lightweight PUF applications, key attributes, including low power, high reconfigurability and large challenge-response pair (CRP) space, are desirable. Here, we report a ferroelectric field-effect transistor (FeFET)-based strong PUF with high reconfigurability and low power, which leverages the FeFET cycle-to-cycle variation throughout the workflow and introduces charge-domain in-memory computing. The proposed PUF cells are fabricated at 28 nm node, and the experimental measurements reveal high uniformity, uniqueness and repeatability. Remarkably, our PUF achieves near-ideal reconfigurability and ultra-low 1.89fJ per bit readout energy, significantly outperforming the state-of-the-art PUFs. Furthermore, we show that the PUF is robust against parameter variations and resilient to machine learning (ML) attacks. These performances highlight the great promise of the FeFET-based strong PUF as a feasible IoT security solution.https://doi.org/10.1038/s41467-024-55380-x |
spellingShingle | Taixin Li Xinrui Guo Franz Müller Sukhrob Abdulazhanov Xiaoyang Ma Hongtao Zhong Yongpan Liu Vijaykrishnan Narayanan Huazhong Yang Kai Ni Thomas Kämpfe Xueqing Li Demonstration of high-reconfigurability and low-power strong physical unclonable function empowered by FeFET cycle-to-cycle variation and charge-domain computing Nature Communications |
title | Demonstration of high-reconfigurability and low-power strong physical unclonable function empowered by FeFET cycle-to-cycle variation and charge-domain computing |
title_full | Demonstration of high-reconfigurability and low-power strong physical unclonable function empowered by FeFET cycle-to-cycle variation and charge-domain computing |
title_fullStr | Demonstration of high-reconfigurability and low-power strong physical unclonable function empowered by FeFET cycle-to-cycle variation and charge-domain computing |
title_full_unstemmed | Demonstration of high-reconfigurability and low-power strong physical unclonable function empowered by FeFET cycle-to-cycle variation and charge-domain computing |
title_short | Demonstration of high-reconfigurability and low-power strong physical unclonable function empowered by FeFET cycle-to-cycle variation and charge-domain computing |
title_sort | demonstration of high reconfigurability and low power strong physical unclonable function empowered by fefet cycle to cycle variation and charge domain computing |
url | https://doi.org/10.1038/s41467-024-55380-x |
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