Radio Frequency Fingerprint-Based Intelligent Mobile Edge Computing for Internet of Things Authentication †

In this paper, a light-weight radio frequency fingerprinting identification (RFFID) scheme that combines with a two-layer model is proposed to realize authentications for a large number of resource-constrained terminals under the mobile edge computing (MEC) scenario without relying on encryption-bas...

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Detalles Bibliográficos
Autores principales: Chen, Songlin, Wen, Hong, Wu, Jinsong, Xu, Aidong, Jiang, Yixin, Song, Huanhuan, Chen, Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6720791/
https://www.ncbi.nlm.nih.gov/pubmed/31430988
http://dx.doi.org/10.3390/s19163610

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6720791/
https://www.ncbi.nlm.nih.gov/pubmed/31430988
http://dx.doi.org/10.3390/s19163610

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