Intelligent Electromagnetic Sensors for Non-Invasive Trojan Detection.

Chen, Ethan; Kan, John; Yang, Bo-Yuan; Zhu, Jimmy; Chen, Vanessa

Chen, Ethan; Kan, John; Yang, Bo-Yuan; Zhu, Jimmy; Chen, Vanessa.

Afiliação

Chen E; Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA.
Kan J; Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA.
Yang BY; Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA.
Zhu J; Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA.
Chen V; Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA.

Sensors (Basel) ; 21(24)2021 Dec 11.

Article em En | MEDLINE | ID: mdl-34960382

Assuntos

Fenômenos Eletromagnéticos; Qualidade de Vida

Palavras-chave

electromagnetic sensing; hardware security; machine learning; real time

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Qualidade de Vida / Fenômenos Eletromagnéticos Tipo de estudo: Diagnostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

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