Bit Error Rate Analysis of Pre-formed ReRAM-based PUF

Saloni Jain, Taylor Wilson, Sareh Assiri, Bertrand Cambou

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

3 Scopus citations


Various Resistive Random Access Memory (ReRAM) devices have been used to generate cryptographic keys. The physical characteristics exploited are often related to the forming of conductive filaments, as well as the programming of cells. In this paper, key generation methods based on pre-formed ReRAM cells are analyzed. An evaluation of the bit error rate (BER) of cryptographic keys is conducted by analyzing physically unclonable function arrays that have been exposed to changes such as temperature drifts, aging, and other factors. Understanding and utilizing this data for security requires an insight of the behavior of physical elements under varying temperatures and currents. In order to guarantee maximum data security by leveraging cryptographic key generation with these methods, we must ensure that keys have low error-rates, which is only possible by producing stronger keys. We are reporting experimental data showing conditions in which the bit error rates are as low as 10 - 6.

Original languageEnglish (US)
Title of host publicationIntelligent Computing - Proceedings of the 2022 Computing Conference
EditorsKohei Arai
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages20
ISBN (Print)9783031104664
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


ConferenceComputing Conference, 2022
CityVirtual, Online


  • Bit error rate
  • Challenge Response Pairs (CRPs)
  • Cryptographic key generation
  • Fuzzy cells
  • Physical Unclonable Function (PUF)
  • Resistive Random Access Memory (ReRAM)
  • Unlimited digital fingerprints

ASJC Scopus subject areas

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


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