An analysis of electromagnetic signatures from triangularly modulated spread spectrum clocking signals
This article treats an analysis of electromagnetic (EM) radiation signatures from devices
employing spread spectrum clocking, primarily focusing on the widely used protocol named …
employing spread spectrum clocking, primarily focusing on the widely used protocol named …
Data Generation and Augmentation Method for Deep Learning-Based VDU Leakage Signal Restoration Algorithm
This study analyzes the phenomenon of electromagnetic (EM) leakage that occurs through
cables and explores the potential for information forensics using deep learning-based image …
cables and explores the potential for information forensics using deep learning-based image …
Periodic Nonuniform Sampling for Enhanced Recognition of Spread Spectrum Clocking-Based Electromagnetic Signature
In today's rapidly evolving technological landscape, information visualization devices (IVDs)
play a crucial role amidst an overwhelming flood of information. However, ensuring the …
play a crucial role amidst an overwhelming flood of information. However, ensuring the …
Learning-based denoising algorithm for the reconstructed image using electromagnetic emanations from the display device
This paper proposes a learning-based denoising algorithm that improves the signal-to-noise
ratio (SNR) of the information signal emitted from the display device. The information signal …
ratio (SNR) of the information signal emitted from the display device. The information signal …