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Ultrafast Near‐Ideal Phase‐Change Memristive Physical Unclonable Functions Driven by Amorphous State Variations

There is an ever‐increasing demand for next‐generation devices that do not require passwords and are impervious to cloning. For traditional hardware security solutions in edge computing devices, inherent limitations are addressed by physical unclonable functions (PUF). However, realizing efficient r...

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Autores principales: Go, Shao‐Xiang, Wang, Qiang, Lim, Kian Guan, Lee, Tae Hoon, Bajalovic, Natasa, Loke, Desmond K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9798968/
https://www.ncbi.nlm.nih.gov/pubmed/36372549
http://dx.doi.org/10.1002/advs.202204453
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author Go, Shao‐Xiang
Wang, Qiang
Lim, Kian Guan
Lee, Tae Hoon
Bajalovic, Natasa
Loke, Desmond K.
author_facet Go, Shao‐Xiang
Wang, Qiang
Lim, Kian Guan
Lee, Tae Hoon
Bajalovic, Natasa
Loke, Desmond K.
author_sort Go, Shao‐Xiang
collection PubMed
description There is an ever‐increasing demand for next‐generation devices that do not require passwords and are impervious to cloning. For traditional hardware security solutions in edge computing devices, inherent limitations are addressed by physical unclonable functions (PUF). However, realizing efficient roots of trust for resource constrained hardware remains extremely challenging, despite excellent demonstrations with conventional silicon circuits and archetypal oxide memristor‐based crossbars. An attractive, down‐scalable approach to design efficient cryptographic hardware is to harness memristive materials with a large‐degree‐of‐randomness in materials state variations, but this strategy is still not well understood. Here, the utilization of high‐degree‐of‐randomness amorphous (A) state variations associated with different operating conditions via thermal fluctuation effects is demonstrated, as well as an integrated framework for in memory computing and next generation security primitives, viz., APUF, for achieving secure key generation and device authentication. Near ideal uniformity and uniqueness without additional initial writing overheads in weak memristive A‐PUF is achieved. In‐memory computing empowers a strong exclusive OR (XOR‐) and‐repeat A PUF construction to avoid machine learning attacks, while rapid crystallization processes enable large‐sized‐key reconfigurability. These findings pave the way for achieving a broadly applicable security primitive for enhancing antipiracy of integrated systems and product authentication in supply chains.
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spelling pubmed-97989682023-01-05 Ultrafast Near‐Ideal Phase‐Change Memristive Physical Unclonable Functions Driven by Amorphous State Variations Go, Shao‐Xiang Wang, Qiang Lim, Kian Guan Lee, Tae Hoon Bajalovic, Natasa Loke, Desmond K. Adv Sci (Weinh) Research Articles There is an ever‐increasing demand for next‐generation devices that do not require passwords and are impervious to cloning. For traditional hardware security solutions in edge computing devices, inherent limitations are addressed by physical unclonable functions (PUF). However, realizing efficient roots of trust for resource constrained hardware remains extremely challenging, despite excellent demonstrations with conventional silicon circuits and archetypal oxide memristor‐based crossbars. An attractive, down‐scalable approach to design efficient cryptographic hardware is to harness memristive materials with a large‐degree‐of‐randomness in materials state variations, but this strategy is still not well understood. Here, the utilization of high‐degree‐of‐randomness amorphous (A) state variations associated with different operating conditions via thermal fluctuation effects is demonstrated, as well as an integrated framework for in memory computing and next generation security primitives, viz., APUF, for achieving secure key generation and device authentication. Near ideal uniformity and uniqueness without additional initial writing overheads in weak memristive A‐PUF is achieved. In‐memory computing empowers a strong exclusive OR (XOR‐) and‐repeat A PUF construction to avoid machine learning attacks, while rapid crystallization processes enable large‐sized‐key reconfigurability. These findings pave the way for achieving a broadly applicable security primitive for enhancing antipiracy of integrated systems and product authentication in supply chains. John Wiley and Sons Inc. 2022-11-13 /pmc/articles/PMC9798968/ /pubmed/36372549 http://dx.doi.org/10.1002/advs.202204453 Text en © 2022 The Authors. Advanced Science published by Wiley‐VCH GmbH https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Go, Shao‐Xiang
Wang, Qiang
Lim, Kian Guan
Lee, Tae Hoon
Bajalovic, Natasa
Loke, Desmond K.
Ultrafast Near‐Ideal Phase‐Change Memristive Physical Unclonable Functions Driven by Amorphous State Variations
title Ultrafast Near‐Ideal Phase‐Change Memristive Physical Unclonable Functions Driven by Amorphous State Variations
title_full Ultrafast Near‐Ideal Phase‐Change Memristive Physical Unclonable Functions Driven by Amorphous State Variations
title_fullStr Ultrafast Near‐Ideal Phase‐Change Memristive Physical Unclonable Functions Driven by Amorphous State Variations
title_full_unstemmed Ultrafast Near‐Ideal Phase‐Change Memristive Physical Unclonable Functions Driven by Amorphous State Variations
title_short Ultrafast Near‐Ideal Phase‐Change Memristive Physical Unclonable Functions Driven by Amorphous State Variations
title_sort ultrafast near‐ideal phase‐change memristive physical unclonable functions driven by amorphous state variations
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9798968/
https://www.ncbi.nlm.nih.gov/pubmed/36372549
http://dx.doi.org/10.1002/advs.202204453
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