A New Method of Secure Authentication Based on Electromagnetic Signatures of Chipless RFID Tags and Machine Learning Approaches

In this study, we present the implementation of a neural network model capable of classifying radio frequency identification (RFID) tags based on their electromagnetic (EM) signature for authentication applications. One important application of the chipless RFID addresses the counterfeiting threat f...

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Detalles Bibliográficos
Autores principales: Nastasiu, Dragoș, Scripcaru, Răzvan, Digulescu, Angela, Ioana, Cornel, De Amorim, Raymundo, Barbot, Nicolas, Siragusa, Romain, Perret, Etienne, Popescu, Florin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7664871/
https://www.ncbi.nlm.nih.gov/pubmed/33182331
http://dx.doi.org/10.3390/s20216385

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7664871/
https://www.ncbi.nlm.nih.gov/pubmed/33182331
http://dx.doi.org/10.3390/s20216385

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