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Statistical Analysis Based Feature Selection Enhanced RF-PUF with >99.8% Accuracy on Unmodified Commodity Transmitters for IoT Physical Security. (arXiv:2202.05684v1 [cs.CR])
Feb. 14, 2022, 2:20 a.m. | Md Faizul Bari, Parv Agrawal, Baibhab Chatterjee, Shreyas Sen
cs.CR updates on arXiv.org arxiv.org
Due to the diverse and mobile nature of the deployment environment, smart
commodity devices are vulnerable to various attacks which can grant
unauthorized access to a rogue device in a large, connected network.
Traditional digital signature-based authentication methods are vulnerable to
key recovery attacks, CSRF, etc. To circumvent this, RF-PUF had been proposed
as a promising alternative that utilizes the inherent nonidealities of the
devices as physical signatures. RF-PUF offers a robust authentication method
that is resilient to key-hacking methods …
More from arxiv.org / cs.CR updates on arXiv.org
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