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TREC: APT Tactic / Technique Recognition via Few-Shot Provenance Subgraph Learning
The experiment results show that TREC significantly outperforms state-of-the-art systems in APT tactic recognition and TREC can also effectively identify APT techniques.
A Heterogeneous Graph Learning Model for Cyber-Attack Detection
To effective and efficient detect cyber-attacks from a huge number of system events in the provenance data, we firstly model the provenance data by a heterogeneous graph to capture the rich context information of each system entities (e. g., process, file, socket, etc.
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