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

Nastasiu, DragoÈ; Scripcaru, Razvan; Digulescu, Angela; Ioana, Cornel; De Amorim, Raymundo; Barbot, Nicolas; Siragusa, Romain; Perret, Etienne; Popescu, Florin

Nastasiu, DragoÈ; Scripcaru, Razvan; Digulescu, Angela; Ioana, Cornel; De Amorim, Raymundo; Barbot, Nicolas; Siragusa, Romain; Perret, Etienne; Popescu, Florin.

Afiliación

Nastasiu D; Military Technical Academy, Department of Communications and Military Electronic Systems, 050141 Bucharest, Romania.
Scripcaru R; Military Technical Academy, Department of Communications and Military Electronic Systems, 050141 Bucharest, Romania.
Digulescu A; Military Technical Academy, Department of Communications and Military Electronic Systems, 050141 Bucharest, Romania.
Ioana C; Gipsa-lab, Université Grenoble Alpes, 38402 Grenoble, France.
De Amorim R; Gipsa-lab, Université Grenoble Alpes, 38402 Grenoble, France.
Barbot N; Grenoble INP, LCIS, Université Grenoble Alpes, 26902 Valence, France.
Siragusa R; Grenoble INP, LCIS, Université Grenoble Alpes, 26902 Valence, France.
Perret E; Grenoble INP, LCIS, Université Grenoble Alpes, 26902 Valence, France.
Popescu F; Grenoble INP, LCIS, Université Grenoble Alpes, 26902 Valence, France.

Sensors (Basel) ; 20(21)2020 Nov 09.

Article en En | MEDLINE | ID: mdl-33182331

Palabras clave

authentication; chipless RFID tags; classification; data augmentation; electromagnetic signature; keras; machine learning; python

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Sensors (Basel) Año: 2020 Tipo del documento: Article País de afiliación: Rumanía

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