Machine Learning Attacks‐Resistant Security by Mixed‐Assembled Layers‐Inserted Graphene Physically Unclonable Function

Machine Learning Attacks‐Resistant Security by Mixed‐Assembled Layers‐Inserted Graphene Physically Unclonable Function

Abstract Mixed layers of octadecyltrichlorosilane (ODTS) and 1H,1H,2H,2H‐perfluorooctyltriethoxysilane (FOTS) on an active layer of graphene are used to induce a disordered doping state and form a robust defense system against machine‐learning attacks (ML attacks). The resulting security key is form...

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Bibliographic Details
Main Authors: Subin Lee, Byung Chul Jang, Minseo Kim, Si Heon Lim, Eunbee Ko, Hyun Ho Kim, Hocheon Yoo
Format: Article
Language:English
Published: Wiley 2023-10-01
Series:Advanced Science
Subjects:
graphene
machine learning attack
physical unclonable function
raman spectroscopy
self‐assembled monolayer
Online Access:https://doi.org/10.1002/advs.202302604

Internet

https://doi.org/10.1002/advs.202302604

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