TY - JOUR
T1 - Demonstration of high-reconfigurability and low-power strong physical unclonable function empowered by FeFET cycle-to-cycle variation and charge-domain computing
AU - Li, Taixin
AU - Guo, Xinrui
AU - Müller, Franz
AU - Abdulazhanov, Sukhrob
AU - Ma, Xiaoyang
AU - Zhong, Hongtao
AU - Liu, Yongpan
AU - Narayanan, Vijaykrishnan
AU - Yang, Huazhong
AU - Ni, Kai
AU - Kämpfe, Thomas
AU - Li, Xueqing
N1 - Publisher Copyright:
© The Author(s) 2024.
PY - 2025/12
Y1 - 2025/12
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85214104201
UR - https://www.scopus.com/pages/publications/85214104201#tab=citedBy
U2 - 10.1038/s41467-024-55380-x
DO - 10.1038/s41467-024-55380-x
M3 - Article
C2 - 39747829
AN - SCOPUS:85214104201
SN - 2041-1723
VL - 16
JO - Nature communications
JF - Nature communications
IS - 1
M1 - 189
ER -