This work presents a novel approach to network intrusion detection by leveraging incremental learning with graph neural networks (GNNs) deployed on edge-forwarding devices. The system continuously updates its detection model in real-time, enabling it to adapt to emerging threats without needing full retraining.
Global Network and Technology Excellence Awards
Website : network.sciencefather.com
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#GraphNeuralNetworks #IncrementalLearning #EdgeComputing
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#DeepLearningCybersecurity #SmartEdgeDevices #AIForNetworks
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