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Author

Jeissa Reiglenc

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Open access Aug 2026

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%.

Puo Pang Nina, P. Min, Jeissa Reiglenc · 0 citations

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