Waveform Classification From TEMPEST Attacks

The paper addresses the classification of typical baseband signals to be found in computing devices picked up without any physical contact, just using RF probing. The automatic classification applies a convolutional neural network and alternatively, by tracing dedicated signal properties that are sp...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Muhammad Ahmed Leghari, Sina Mei Pralle, Soeren F. Peik, Sebastian Luetje, Werner Henkel
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	TEMPEST eavesdropping near-field probe modulation classification deep learning time-frequency representation
Online Access:	https://ieeexplore.ieee.org/document/11170314/