Kurt A. Vedros

202220233 10

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Makrakis, Georgios MichailPh.D. Candidate, University of IdahoVerified email at vandals.uidaho.edu
Constantinos KoliasAssistant Professor, University of IdahoVerified email at uidaho.edu
Craig RiegerThreat Resilient Control Systems Innovator and ConsultantVerified email at isu.edu
Daniel BarbaraProfessor of Computer Science, George Mason UniversityVerified email at gmu.edu
Min Xian (鲜敏)Department of Computer Science, University of IdahoVerified email at uidaho.edu

Kurt A. Vedros

Verified email at uidaho.edu


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On the limits of em based detection of control logic injection attacks in noisy environments K Vedros, GM Makrakis, C Kolias, M Xian, D Barbara, C Rieger 2021 Resilience Week (RWS), 1-9, 2021	7	2021
Detecting Code Injections in Noisy Environments Through EM Signal Analysis and SVD Denoising DB Ekaterina Miller, Georgios Michail Makrakis, Kurt A. Vedros, Constantinos ... The 20th International Conference on Embedded Systems, Cyber-physical …, 2022	4*	2022
Towards Scalable EM-based Anomaly Detection for Embedded Devices Through Synthetic Fingerprinting KA Vedros, GM Makrakis, C Kolias, RC Ivans, C Rieger 12th International Conference on Embedded Systems and Applications (EMSA …, 2023	2	2023
Do Programs Dream of Electromagnetic Signals? Towards GAN-based Code-to-Signal Synthesis KA Vedros, C Kolias, RC Ivans MILCOM 2023-2023 IEEE Military Communications Conference (MILCOM), 716-721, 2023		2023
Scalable EM-Based Anomaly Detection Using Generative Adversarial Networks KA Vedros University of Idaho, 2023		2023
TOWARDS SCALABLE ANOMALY DETECTION FOR EMBEDDED DEVICES THROUGH SYNTHETIC EM FINGERPRINTING KA Vedros, GM Makrakis, C Kolias, RC Ivans, C Rieger

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