Statistical Analysis Based Feature Selection Enhanced RF-PUF With >99.8% Accuracy on Unmodified Commodity Transmitters for IoT Physical Security
- DOI
- 10.3389/felec.2022.856284
- Published
- 2022-04-25
- Container
- Frontiers in Electronics
- Publisher
- Frontiers Media SA
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3389/felec.2022.856284,
title = {Statistical Analysis Based Feature Selection Enhanced RF-PUF With \>99.8\% Accuracy on Unmodified Commodity Transmitters for IoT Physical Security},
author = {Md Faizul Bari and Parv Agrawal and Baibhab Chatterjee and Shreyas Sen},
year = {2022},
journal = {Frontiers in Electronics},
doi = {10.3389/felec.2022.856284},
url = {https://doi.org/10.3389/felec.2022.856284}
}RIS
TY - JOUR TI - Statistical Analysis Based Feature Selection Enhanced RF-PUF With >99.8% Accuracy on Unmodified Commodity Transmitters for IoT Physical Security AU - Md Faizul Bari AU - Parv Agrawal AU - Baibhab Chatterjee AU - Shreyas Sen PY - 2022 JO - Frontiers in Electronics DO - 10.3389/felec.2022.856284 UR - https://doi.org/10.3389/felec.2022.856284 ER -
APA
Bari, M. F., Agrawal, P., Chatterjee, B., & Sen, S. (2022). Statistical Analysis Based Feature Selection Enhanced RF-PUF With >99.8% Accuracy on Unmodified Commodity Transmitters for IoT Physical Security. Frontiers in Electronics. https://doi.org/10.3389/felec.2022.856284
Source records
- crossref · retrieved 2026-09-24T22:23:57.687Z