Machine Learning Attacks‐Resistant Security by Mixed‐Assembled Layers‐Inserted Graphene Physically Unclonable Function (Adv. Sci. 30/2023)

Machine Learning Attacks‐Resistant Security In article number 2302604, Hocheon Yoo and co‐workers present an efficient method for extracting a security key using graphene at just 100 mV voltage. By introducing diverse functional groups via mixed‐assembled monolayers into the graphene device, they cr...

Descripción completa

Detalles Bibliográficos
Autores principales: Lee, Subin, Jang, Byung Chul, Kim, Minseo, Lim, Si Heon, Ko, Eunbee, Kim, Hyun Ho, Yoo, Hocheon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Frontispiece
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10602504/
http://dx.doi.org/10.1002/advs.202370204
_version_ 1785126397070540800
author Lee, Subin
Jang, Byung Chul
Kim, Minseo
Lim, Si Heon
Ko, Eunbee
Kim, Hyun Ho
Yoo, Hocheon
author_facet Lee, Subin
Jang, Byung Chul
Kim, Minseo
Lim, Si Heon
Ko, Eunbee
Kim, Hyun Ho
Yoo, Hocheon
author_sort Lee, Subin
collection PubMed
description Machine Learning Attacks‐Resistant Security In article number 2302604, Hocheon Yoo and co‐workers present an efficient method for extracting a security key using graphene at just 100 mV voltage. By introducing diverse functional groups via mixed‐assembled monolayers into the graphene device, they created an unconventional dipole distribution, yielding distinct characteristics and abundant randomness. This approach achieves significant results: 50% uniformity, 45.5% inter‐Hamming distance, and a strong 10.33% defense rate against machine learning attacks. [Image: see text]
format Online
Article
Text
id pubmed-10602504
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-106025042023-10-27 Machine Learning Attacks‐Resistant Security by Mixed‐Assembled Layers‐Inserted Graphene Physically Unclonable Function (Adv. Sci. 30/2023) Lee, Subin Jang, Byung Chul Kim, Minseo Lim, Si Heon Ko, Eunbee Kim, Hyun Ho Yoo, Hocheon Adv Sci (Weinh) Frontispiece Machine Learning Attacks‐Resistant Security In article number 2302604, Hocheon Yoo and co‐workers present an efficient method for extracting a security key using graphene at just 100 mV voltage. By introducing diverse functional groups via mixed‐assembled monolayers into the graphene device, they created an unconventional dipole distribution, yielding distinct characteristics and abundant randomness. This approach achieves significant results: 50% uniformity, 45.5% inter‐Hamming distance, and a strong 10.33% defense rate against machine learning attacks. [Image: see text] John Wiley and Sons Inc. 2023-10-26 /pmc/articles/PMC10602504/ http://dx.doi.org/10.1002/advs.202370204 Text en © 2023 Wiley‐VCH GmbH https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Frontispiece
Lee, Subin
Jang, Byung Chul
Kim, Minseo
Lim, Si Heon
Ko, Eunbee
Kim, Hyun Ho
Yoo, Hocheon
Machine Learning Attacks‐Resistant Security by Mixed‐Assembled Layers‐Inserted Graphene Physically Unclonable Function (Adv. Sci. 30/2023)
title Machine Learning Attacks‐Resistant Security by Mixed‐Assembled Layers‐Inserted Graphene Physically Unclonable Function (Adv. Sci. 30/2023)
title_full Machine Learning Attacks‐Resistant Security by Mixed‐Assembled Layers‐Inserted Graphene Physically Unclonable Function (Adv. Sci. 30/2023)
title_fullStr Machine Learning Attacks‐Resistant Security by Mixed‐Assembled Layers‐Inserted Graphene Physically Unclonable Function (Adv. Sci. 30/2023)
title_full_unstemmed Machine Learning Attacks‐Resistant Security by Mixed‐Assembled Layers‐Inserted Graphene Physically Unclonable Function (Adv. Sci. 30/2023)
title_short Machine Learning Attacks‐Resistant Security by Mixed‐Assembled Layers‐Inserted Graphene Physically Unclonable Function (Adv. Sci. 30/2023)
title_sort machine learning attacks‐resistant security by mixed‐assembled layers‐inserted graphene physically unclonable function (adv. sci. 30/2023)
topic Frontispiece
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10602504/
http://dx.doi.org/10.1002/advs.202370204
work_keys_str_mv AT leesubin machinelearningattacksresistantsecuritybymixedassembledlayersinsertedgraphenephysicallyunclonablefunctionadvsci302023
AT jangbyungchul machinelearningattacksresistantsecuritybymixedassembledlayersinsertedgraphenephysicallyunclonablefunctionadvsci302023
AT kimminseo machinelearningattacksresistantsecuritybymixedassembledlayersinsertedgraphenephysicallyunclonablefunctionadvsci302023
AT limsiheon machinelearningattacksresistantsecuritybymixedassembledlayersinsertedgraphenephysicallyunclonablefunctionadvsci302023
AT koeunbee machinelearningattacksresistantsecuritybymixedassembledlayersinsertedgraphenephysicallyunclonablefunctionadvsci302023
AT kimhyunho machinelearningattacksresistantsecuritybymixedassembledlayersinsertedgraphenephysicallyunclonablefunctionadvsci302023
AT yoohocheon machinelearningattacksresistantsecuritybymixedassembledlayersinsertedgraphenephysicallyunclonablefunctionadvsci302023

Ejemplares similares