Deep PUF: A Highly Reliable DRAM PUF-Based Authentication for IoT Networks Using Deep Convolutional Neural Networks

Traditional authentication techniques, such as cryptographic solutions, are vulnerable to various attacks occurring on session keys and data. Physical unclonable functions (PUFs) such as dynamic random access memory (DRAM)-based PUFs are introduced as promising security blocks to enable cryptography...

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Detalles Bibliográficos
Autores principales: Najafi, Fatemeh, Kaveh, Masoud, Martín, Diego, Reza Mosavi, Mohammad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8002042/
https://www.ncbi.nlm.nih.gov/pubmed/33809161
http://dx.doi.org/10.3390/s21062009

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8002042/
https://www.ncbi.nlm.nih.gov/pubmed/33809161
http://dx.doi.org/10.3390/s21062009

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