27 citations · 38 across the 3 of their papers we have counts for
3 papers
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…
Efficient Network Representation for GNN-based Intrusion Detection
Hamdi Friji, Alexis Olivereau, Mireille Sarkiss
The last decades have seen a growth in the number of cyber-attacks with severe economic and privacy damages, which reveals the need for network intrusion detection approaches to as…
Predicting Bandwidth Utilization on Network Links Using Machine Learning
Maxime Labonne, Charalampos Chatzinakis, Alexis Olivereau
Predicting the bandwidth utilization on network links can be extremely useful for detecting congestion in order to correct them before they occur. In this paper, we present a solut…