70 citations · 226 across the 18 of their papers we have counts for
4 papers · 1 filter
Adaptive Anomaly Detection for Identifying Attacks in Cyber-Physical Systems: A Systematic Literature Review
Pablo Moriano, Steven C. Hespeler, Mingyan Li +1
Modern cyberattacks in cyber-physical systems (CPS) rapidly evolve and cannot be deterred effectively with most current methods which focused on characterizing past threats. Adapti…
Detecting Masquerade Attacks in Controller Area Networks Using Graph Machine Learning
William Marfo, Pablo Moriano, Deepak K. Tosh +1
Modern vehicles rely on a myriad of electronic control units (ECUs) interconnected via controller area networks (CANs) for critical operations. Despite their ubiquitous use and rel…
Evaluating lightweight unsupervised online IDS for masquerade attacks in CAN
Pablo Moriano, Steven C. Hespeler, Mingyan Li +1
Vehicular controller area networks (CANs) are susceptible to masquerade attacks by malicious adversaries. In masquerade attacks, adversaries silence a targeted ID and then send mal…
Robustness of shallow graph embedding methods for community detection
Zhi-Feng Wei, Pablo Moriano, Ramakrishnan Kannan
This study investigates the robustness of shallow graph embedding methods for community detection in the face of network perturbations, specifically node deletions. Graph embedding…