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

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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Bibliographic Details
Main Authors: Dragoș Nastasiu, Răzvan Scripcaru, Angela Digulescu, Cornel Ioana, Raymundo De Amorim, Nicolas Barbot, Romain Siragusa, Etienne Perret, Florin Popescu
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Sensors
Subjects:
chipless RFID tags
classification
authentication
machine learning
electromagnetic signature
data augmentation
Online Access:https://www.mdpi.com/1424-8220/20/21/6385

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