13 citations · 50 across the 19 of their papers we have counts for
4 papers · 1 filter
Multi-stage Attack Detection and Prediction Using Graph Neural Networks: An IoT Feasibility Study
Hamdi Friji, Ioannis Mavromatis, Adrian Sanchez-Mompo +3
With the ever-increasing reliance on digital networks for various aspects of modern life, ensuring their security has become a critical challenge. Intrusion Detection Systems play…
Cybersecurity in Motion: A Survey of Challenges and Requirements for Future Test Facilities of CAVs
Ioannis Mavromatis, Theodoros Spyridopoulos, Pietro Carnelli +12
The way we travel is changing rapidly, and Cooperative Intelligent Transportation Systems (C-ITSs) are at the forefront of this evolution. However, the adoption of C-ITSs introduce…
Federated Deep Learning for Intrusion Detection in IoT Networks
Othmane Belarbi, Theodoros Spyridopoulos, Eirini Anthi +3
The vast increase of Internet of Things (IoT) technologies and the ever-evolving attack vectors have increased cyber-security risks dramatically. A common approach to implementing…
Resource-Interaction Graph: Efficient Graph Representation for Anomaly Detection
James Pope, Jinyuan Liang, Vijay Kumar +13
Security research has concentrated on converting operating system audit logs into suitable graphs, such as provenance graphs, for analysis. However, provenance graphs can grow very…