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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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| Publicado no: | Sensors (Basel) |
|---|---|
| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6720791/ https://ncbi.nlm.nih.gov/pubmed/31430988 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19163610 |
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