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Conference Aug 2026

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...

Hui-Yuan Han, Jun-Bo Jia, Li Yang et al. · 0 citations
2026

A Code-Refactoring-Based Migration Scheme for Trusted Applications across Heterogeneous TEEs

Experimental results show that CRTAMS enables trusted-application migration across heterogeneous TEEs with low refactoring cost and moderate execution overhead in the evaluated workloads, while reducing the amount of platform-specific code that developers must write manually.

Di Lu, Qing-Wen Zhang, Yujia Liu et al. · 0 citations

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