PUF-Phenotype: A Robust and Noise-Resilient Approach to Aid Group-Based Authentication With DRAM-PUFs Using Machine Learning-Reference-Cited by-同舟云学术

PUF-Phenotype: A Robust and Noise-Resilient Approach to Aid Group-Based Authentication With DRAM-PUFs Using Machine Learning

Author:

Millwood Owen¹,Miskelly Jack²,Yang Bohao¹,Gope Prosanta¹^ORCID,Kavun Elif Bilge³,Lin Chenghua¹^ORCID

Affiliation:

1. Department of Computer Science, The University of Sheffield, Regent Court Campus, Sheffield, U.K

2. Centre for Secure Information Technologies, Queen’s University Belfast, Belfast, U.K

3. Secure Intelligent Systems Research Group, FIM, University of Passau, Passau, Germany

Funder

Engineering and Physical Sciences Research Council (EPSRC) Secure IoT Processor Platform with Remote Attestation (SIPP) Project

Royal Society Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Safety, Risk, Reliability and Quality

Link

Reference36 articles.

1. Very deep convolutional networks for large-scale image recognition;simonyan;arXiv 1409 1556,2014

3. The genotype/phenotype distinction;taylor;The Stanford Encyclopedia of Philosophy,2021

5. Physical unclonable functions for device authentication and secret key generation;suh;Proc 44th ACM/IEEE Design Autom Conf,2007

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