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InfoResearchPeer-reviewed

Warning-Graph: An Early Warning Framework for APT Attacks Based on Threat Intelligence Modeling

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Summary

Warning-Graph is a lightweight framework that infers the type of an ongoing APT attack from a limited set of IoCs. It models attack-related infrastructure nodes as a heterogeneous information network and uses heterogeneous graph contrastive learning with two asymmetric graph encoders, plus an information bottleneck loss to reduce noise. Experiments show a 3- to 5-point improvement in identifying APT attack types over baselines while using fewer labeled samples.