A Siamese deep learning framework for efficient hardware Trojan detection using power side-channel data

Abdurrahman Nasr, Khalil Mohamed, Ayman Elshenawy, Mohamed Zaki

Open source

DOI: 10.1038/s41598-024-62744-2
Published: 2024-06-06
Container: Scientific Reports
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-024-62744-2,
  title = {A Siamese deep learning framework for efficient hardware Trojan detection using power side-channel data},
  author = {Abdurrahman Nasr and Khalil Mohamed and Ayman Elshenawy and Mohamed Zaki},
  year = {2024},
  journal = {Scientific Reports},
  doi = {10.1038/s41598-024-62744-2},
  url = {https://doi.org/10.1038/s41598-024-62744-2}
}

RIS

TY  - JOUR
TI  - A Siamese deep learning framework for efficient hardware Trojan detection using power side-channel data
AU  - Abdurrahman Nasr
AU  - Khalil Mohamed
AU  - Ayman Elshenawy
AU  - Mohamed Zaki
PY  - 2024
JO  - Scientific Reports
DO  - 10.1038/s41598-024-62744-2
UR  - https://doi.org/10.1038/s41598-024-62744-2
ER  -

APA

Nasr, A., Mohamed, K., Elshenawy, A., & Zaki, M. (2024). A Siamese deep learning framework for efficient hardware Trojan detection using power side-channel data. Scientific Reports. https://doi.org/10.1038/s41598-024-62744-2

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crossref · retrieved 2026-11-10T11:19:20.420Z