Design and Analysis of Pre-formed ReRAM-Based PUF

Taylor Wilson, Bertrand Cambou, Brit Riggs, Ian Burke, Julie Heynssens, Sung Hyun Jo

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

Abstract

We present a Resistive Random Access Memory based Physical Unclonable Function design that gives near-ideal characteristics with high reliability when operating in extreme temperature conditions. By injecting the cells with electric currents, the resistances are much lower than they are in the pristine state and significantly vary cell-to-cell. This property can be exploited to design cryptographic key generators and create quasi-infinite possible digital fingerprints for the same array. The physical unclonable functions operate at low power, in a range that does not disturb the cells; unlike what is done by forming permanently conductive filaments, and the SET/RESET program/erase processes, this design does not modify permanently the resistance of each cell. The novelty of this architecture is to exploit the physical properties of this memory technology by forming gentle ephemeral conductive paths. We evaluate the proposed device’s performance by various stress tests on 1 kb–180 nm ReRAM Technology.

Original languageEnglish (US)
Title of host publicationIntelligent Computing - Proceedings of the 2022 Computing Conference
EditorsKohei Arai
PublisherSpringer Science and Business Media Deutschland GmbH
Pages532-549
Number of pages18
ISBN (Print)9783031104664
DOIs
StatePublished - 2022
EventComputing Conference, 2022 - Virtual, Online
Duration: Jul 14 2022Jul 15 2022

Publication series

NameLecture Notes in Networks and Systems
Volume508 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

ConferenceComputing Conference, 2022
CityVirtual, Online
Period7/14/227/15/22

Keywords

  • Hardware security
  • Low power
  • Physical unclonable functions
  • Quasi-infinite digital fingerprints
  • Resistive Random Access Memory

ASJC Scopus subject areas

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

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