Classification of Electronic Devices and Software Processes via Unintentional Electronic Emissions With Neural Decoding Algorithms

Electronic and electromechanical devices continuously emit electromagnetic (EM) signals while in use. These EM emissions (EMEs) contain unique spectral characteristics that can be leveraged for a variety of purposes, including identification of the device's unique EM "fingerprint," an...

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Veröffentlicht in:	IEEE transactions on electromagnetic compatibility 2020-04, Vol.62 (2), p.470-477
Hauptverfasser:	Mariano, Laura J., Aubuchon, Alexander, Lau, Troy, Ozdemir, Onur, Lazovich, Tomo, Coakley, John
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Arrays Classification Data collection Decoding Electromagnetic (EM) emissions Electromechanical devices Electronic devices Fingerprinting Hardware logistic regression Logistics neural decoding pattern analysis Probes Prototyping Software State (computer science)
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