Guo-Hao Li

ProvDA: VGAE-Based Synthetic Provenance Data Augmentation for APT Detection

Constructing high-quality provenance graph datasets for APT detection remains challenging because attack-related behaviors are sparse, highly imbalanced, and hidden within large-scale benign system activities. This paper proposes ProvDA, a quality-controlled data augmentation framework for multi-structured provenance g...