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Multi-stage Attack Detection and Prediction Using Graph Neural Networks: An IoT Feasibility Study
With the ever-increasing reliance on digital networks for various aspects of modern life, ensuring their security has become a critical challenge.
Efficient Network Representation for GNN-based Intrusion Detection
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 assist in preventing cyber-attacks and reducing their risks.
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