A memristor fingerprinting and characterisation methodology for hardware security.
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
09 Jun 2023
09 Jun 2023
Historique:
received:
01
11
2022
accepted:
06
04
2023
medline:
12
6
2023
pubmed:
10
6
2023
entrez:
9
6
2023
Statut:
epublish
Résumé
The modern IC supply chain encompasses a large number of steps and manufacturers. In many applications it is critically important that chips are of the right quality and are assured to have been obtained from the legitimate supply chain. To this end, it is necessary to be able to uniquely identify systems to aid in supply chain tracking and quality assurance. Many identifiers, however, can be cloned onto counterfeit devices and are therefore untrustworthy. This paper proposes a methodology for using post-CMOS memristor devices as a fingerprint to uniquely identify ICs. To achieve this, memristors' unique and variable I-V characteristics are exploited to produce a fingerprint that can be generally applicable to a wide variety of different memristor technologies and identifiable over time, even where cell retention is non-ideal. In doing so it aims to minimise the hardware required on-chip both to minimise cost and maximise the auditability of the system. The methodology is applied to a [Formula: see text] memristor technology, and shown to be able to identify cells in a set.
Identifiants
pubmed: 37296171
doi: 10.1038/s41598-023-33051-z
pii: 10.1038/s41598-023-33051-z
pmc: PMC10256690
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
9392Subventions
Organisme : UK Research and Innovation
ID : EP/S024298/1
Organisme : UK Research and Innovation
ID : EP/R007268/1
Organisme : UK Research and Innovation
ID : EP/R024642/1
Organisme : Royal Academy of Engineering
ID : IF2021\36
Organisme : Royal Academy of Engineering
ID : CiET1819/2/93
Informations de copyright
© 2023. The Author(s).
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