Zero-Trust Graph Neural Networks: Dynamic Lateral Movement Detection and Attack Path Reconstruction in Hybrid Cloud Infrastructure
This paper proposes ZT-GNN (Zero-Trust Graph Neural Network), a novel dynamic spatio-temporal graph neural network engineered for continuous lateral movement detection and automated attack path reconstruction, and achieves an exceptional F1-score of 98.4% and an ultra-low False Positive Rate of 0.08%.