97 citations · 114 across the 6 of their papers we have counts for
3 papers · 1 filter
Detecting Code Injections in Noisy Environments Through EM Signal Analysis and SVD Denoising
Ekaterina Miller, Georgios Michail Makrakis, Kurt A. Vedros +3
The penetration of embedded devices in networks that support critical applications has rendered them a lucrative target for attackers and evildoers. However, traditional protection…
RX-ADS: Interpretable Anomaly Detection using Adversarial ML for Electric Vehicle CAN data
Chathurika S. Wickramasinghe, Daniel L. Marino, Harindra S. Mavikumbure +5
Recent year has brought considerable advancements in Electric Vehicles (EVs) and associated infrastructures/communications. Intrusion Detection Systems (IDS) are widely deployed fo…
Self-Supervised and Interpretable Anomaly Detection using Network Transformers
Daniel L. Marino, Chathurika S. Wickramasinghe, Craig Rieger +1
Monitoring traffic in computer networks is one of the core approaches for defending critical infrastructure against cyber attacks. Machine Learning (ML) and Deep Neural Networks (D…