Detection of TEMPEST audio compromising signal using artificial intelligence
Alexandru-Mădălin Vizitiu, Lidia Dobrescu, Cristian Constantin Molder, Bogdan Sebacher, Bogdan Trip, Vlad Florian Butnariu · 2024
In the contemporary landscape of cybersecurity, electronic devices are increasingly susceptible to various forms of exploitation, with TEMPEST (Transient Electromagnetic Pulse Emanation Standard) attacks posing a significant threat. This article delves into the application of artificial intelligence (AI) for detecting vulnerabilities in electronic devices through audio signal analysis within the TEMPEST domain. By leveraging advanced AI techniques, particularly machine learning algorithms, this study identifies a novel approach regarding the TEMPEST evaluation of electronic devices which process audio signal using artificial intelligence. The process involves the collection and processing of audio signals emanating from electronic devices, followed by the application of AI models to detect the presence of audio information in the received signal. The findings underscore the efficacy of AI involved in TEMPEST evaluation of electronic devices.