File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Nanoscale diffusive memristor crossbars as physical unclonable functions

TitleNanoscale diffusive memristor crossbars as physical unclonable functions
Authors
Issue Date2018
Citation
Nanoscale, 2018, v. 10, n. 6, p. 2721-2726 How to Cite?
Abstract© 2018 The Royal Society of Chemistry. Physical unclonable functions have emerged as promising hardware security primitives for device authentication and key generation in the era of the Internet of Things. Herein, we report novel physical unclonable functions built upon the crossbars of nanoscale diffusive memristors that translate the stochastic distribution of Ag clusters in a SiO2 matrix into a random binary bitmap that serves as a device fingerprint. The random dispersion of Ag led to an uneven number of clusters at each cross-point, which in turn resulted in a stochastic ability to switch in the Ag:SiO2 diffusive memristors in an array. The randomness of the dispersion was a barrier to fingerprint cloning and the unique fingerprints of each device were persistent after fabrication. Using an optimized fabrication procedure, we maximized the randomness and achieved an inter-class Hamming distance of 50.68%. We also discovered that the bits were not flipping after over 104 s at 400 K, suggesting superior reliability of our physical unclonable functions. In addition, our diffusive memristor-based physical unclonable functions were easy to fabricate and did not require complicated post-processing for digitization and thus, provide new opportunities in hardware security applications.
Persistent Identifierhttp://hdl.handle.net/10722/286955
ISSN
2021 Impact Factor: 8.307
2020 SCImago Journal Rankings: 2.038
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorZhang, R.-
dc.contributor.authorJiang, H.-
dc.contributor.authorWang, Z. R.-
dc.contributor.authorLin, P.-
dc.contributor.authorZhuo, Y.-
dc.contributor.authorHolcomb, D.-
dc.contributor.authorZhang, D. H.-
dc.contributor.authorYang, J. J.-
dc.contributor.authorXia, Q.-
dc.date.accessioned2020-09-07T11:46:07Z-
dc.date.available2020-09-07T11:46:07Z-
dc.date.issued2018-
dc.identifier.citationNanoscale, 2018, v. 10, n. 6, p. 2721-2726-
dc.identifier.issn2040-3364-
dc.identifier.urihttp://hdl.handle.net/10722/286955-
dc.description.abstract© 2018 The Royal Society of Chemistry. Physical unclonable functions have emerged as promising hardware security primitives for device authentication and key generation in the era of the Internet of Things. Herein, we report novel physical unclonable functions built upon the crossbars of nanoscale diffusive memristors that translate the stochastic distribution of Ag clusters in a SiO2 matrix into a random binary bitmap that serves as a device fingerprint. The random dispersion of Ag led to an uneven number of clusters at each cross-point, which in turn resulted in a stochastic ability to switch in the Ag:SiO2 diffusive memristors in an array. The randomness of the dispersion was a barrier to fingerprint cloning and the unique fingerprints of each device were persistent after fabrication. Using an optimized fabrication procedure, we maximized the randomness and achieved an inter-class Hamming distance of 50.68%. We also discovered that the bits were not flipping after over 104 s at 400 K, suggesting superior reliability of our physical unclonable functions. In addition, our diffusive memristor-based physical unclonable functions were easy to fabricate and did not require complicated post-processing for digitization and thus, provide new opportunities in hardware security applications.-
dc.languageeng-
dc.relation.ispartofNanoscale-
dc.titleNanoscale diffusive memristor crossbars as physical unclonable functions-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1039/c7nr06561b-
dc.identifier.pmid29419836-
dc.identifier.scopuseid_2-s2.0-85041822576-
dc.identifier.volume10-
dc.identifier.issue6-
dc.identifier.spage2721-
dc.identifier.epage2726-
dc.identifier.eissn2040-3372-
dc.identifier.isiWOS:000424694400006-
dc.identifier.issnl2040-3364-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats