Resilience evaluation of memristor based PUF against machine learning attacks.

Ibrahim HM, Skovorodnikov H, Alkhzaimi H

DOI: 10.1038/s41598-024-73839-1
Published: 2024 Oct 14
Container: Scientific reports
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-024-73839-1,
  title = {Resilience evaluation of memristor based PUF against machine learning attacks.},
  author = {Ibrahim HM and Skovorodnikov H and Alkhzaimi H},
  year = {2024},
  journal = {Scientific reports},
  doi = {10.1038/s41598-024-73839-1},
  url = {https://doi.org/10.1038/s41598-024-73839-1}
}

RIS

TY  - JOUR
TI  - Resilience evaluation of memristor based PUF against machine learning attacks.
AU  - Ibrahim HM
AU  - Skovorodnikov H
AU  - Alkhzaimi H
PY  - 2024
JO  - Scientific reports
DO  - 10.1038/s41598-024-73839-1
UR  - https://doi.org/10.1038/s41598-024-73839-1
ER  -

APA

HM, I., H, S., & H, A. (2024). Resilience evaluation of memristor based PUF against machine learning attacks.. Scientific reports. https://doi.org/10.1038/s41598-024-73839-1

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pubmed · retrieved 2026-11-10T12:20:24.117Z