A GCN-DQN framework that weights routing rewards by attack detection results is shown to produce attack-avoiding paths on CICIoT2022, outperforming an attack-unaware MPNN-DQN baseline.
Dealing with changes: Resilient routing via graph neural networks and multi-agent deep reinforcement learning,
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Achieving Network Resilience through Graph Neural Network-enabled Deep Reinforcement Learning
A GCN-DQN framework that weights routing rewards by attack detection results is shown to produce attack-avoiding paths on CICIoT2022, outperforming an attack-unaware MPNN-DQN baseline.