An Information Theory-based Model for Quantifying the Electromagnetic Information Leakage Risk of Audio Signals

Audio signals can be reconstructed through electromagnetic emissions, presenting a significant risk of information leakage that traditional algorithms are unable to assess accurately or quantitatively. To address this issue, we propose a method for quantifying the feasibility of electromagnetic information leakage from audio signals. We assume that the ITE and the receiver form a communication channel, and we quantify the amount of information leakage via electromagnetic emissions using information entropy theory. Finally, we provide practical examples to demonstrate the effectiveness of the proposed model and realize the quantitative assessment of electromagnetic information leakage from audio signals.