Characterization of ReRAM Arrays Operating in the Pre-formed Range to Design Reliable PUFs

Taylor Wilson, Saloni Jain, Jack Garrard, Bertrand Cambou, Ian Burke

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Pre-formed Resistive Random Access Memory arrays are analyzed for the purpose of designing Physical Unclonable Functions to enhance the tamper resistance of Internet of Things devices. The evaluation includes subjecting these pre-formed arrays to repeated read operations and varying operating temperature ranges to assess their impacts on reliability. Additionally, a Ternary Addressable Public Key Infrastructure protocol is employed to generate 256-bit long keys, with error rates evaluated by comparing keys generated by the server database and client devices. To improve the bit error rate performance, fuzzy zones are implemented to mask unstable cells positioned too close to the binary threshold, and the furthermost cells from the threshold in a trit stream are selected to produce robust keys. This method accounts for inherent cycle-to-cycle variation and temperature drifts, ensuring high reproducibility. Experimental results demonstrate that the design achieves bit error rates as low as 10-8 in 256-bit long keys, averaged over one million cycles.

Original languageEnglish (US)
Title of host publicationIntelligent Computing - Proceedings of the 2024 Computing Conference
EditorsKohei Arai
PublisherSpringer Science and Business Media Deutschland GmbH
Pages328-350
Number of pages23
ISBN (Print)9783031622724
DOIs
StatePublished - 2024
EventScience and Information Conference, SAI 2024 - London, United Kingdom
Duration: Jul 11 2024Jul 12 2024

Publication series

NameLecture Notes in Networks and Systems
Volume1019 LNNS

Conference

ConferenceScience and Information Conference, SAI 2024
Country/TerritoryUnited Kingdom
CityLondon
Period7/11/247/12/24

Keywords

  • Alumina (AlO)
  • Bit error rates
  • Performance metrics
  • Physical unclonable functions
  • Resistive RAM

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Computer Networks and Communications

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