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
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

9392

Subventions

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).

Références

Nat Commun. 2022 Jun 23;13(1):3587
pubmed: 35739100
Nat Commun. 2017 Oct 12;8(1):882
pubmed: 29026110
Sci Bull (Beijing). 2021 Aug 30;66(16):1624-1633
pubmed: 36654296
Sci Rep. 2022 Aug 17;12(1):13912
pubmed: 35978029
Nat Commun. 2021 Jun 17;12(1):3681
pubmed: 34140514

Auteurs

Callum Aitchison (C)

Electronics and Computer Science, University of Southampton, University Road, Southampton, SO17 1BJ, UK. callum.aitchison@soton.ac.uk.

Basel Halak (B)

Electronics and Computer Science, University of Southampton, University Road, Southampton, SO17 1BJ, UK.

Alex Serb (A)

Centre for Electronics Frontiers, Institute for Integrated Micro and Nano Systems, School of Engineering, The University of Edinburgh, Edinburgh, UK.

Themis Prodromakis (T)

Centre for Electronics Frontiers, Institute for Integrated Micro and Nano Systems, School of Engineering, The University of Edinburgh, Edinburgh, UK.

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Classifications MeSH