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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Publicado en:Sensors (Basel)
Autores principales: Nastasiu, Dragoș, Scripcaru, Răzvan, Digulescu, Angela, Ioana, Cornel, De Amorim, Raymundo, Barbot, Nicolas, Siragusa, Romain, Perret, Etienne, Popescu, Florin
Formato: Artigo
Lenguaje:Inglês
Publicado: MDPI 2020
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Article
Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC7664871/
https://ncbi.nlm.nih.gov/pubmed/33182331
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20216385
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