Towards scalable em-based anomaly detection for embedded devices through synthetic fingerprinting

KA Vedros, GM Makrakis, C Kolias, RC Ivans… - arXiv preprint arXiv …, 2023 - arxiv.org
Embedded devices are omnipresent in modern networks including the ones operating
inside critical environments. However, due to their constrained nature, novel mechanisms …

From Code to EM Signals: A Generative Approach to Side Channel Analysis-based Anomaly Detection

KA Vedros, C Kolias, D Barbara, RC Ivans - Proceedings of the 19th …, 2024 - dl.acm.org
Today, it is possible to perform external anomaly detection by analyzing the involuntary EM
emanations of digital device components. However, one of the most important challenges of …

Do Programs Dream of Electromagnetic Signals? Towards GAN-based Code-to-Signal Synthesis

KA Vedros, C Kolias, RC Ivans - MILCOM 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
The analysis of EM signals has become a popular approach as a means for achieving non-
intrusive and external anomaly detection, particularly in the realm of embedded devices …

Scalable EM-Based Anomaly Detection Using Generative Adversarial Networks

KA Vedros - 2023 - search.proquest.com
Embedded devices are omnipresent in modern networks, including those facilitating mission-
critical applications. However, due to their constrained nature, novel mechanisms are …

[PDF][PDF] TOWARDS SCALABLE ANOMALY DETECTION FOR EMBEDDED DEVICES THROUGH SYNTHETIC EM FINGERPRINTING

KA Vedros, GM Makrakis, C Kolias, RC Ivans, C Rieger - researchgate.net
Embedded devices are omnipresent in modern networks, including those facilitating
missioncritical applications. However, due to their constrained nature, novel mechanisms …