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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...
Gardado en:
| Publicado en: | Sensors (Basel) |
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| Main Authors: | , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
MDPI
2020
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| Assuntos: | |
| Acceso en liña: | 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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