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Open access Sep 2026

CSCProv: causal-semantic consistent provenance graph compression for attack detection

Provenance graphs have become an important foundation for attack investigation and anomaly detection in enterprise systems. However, system audit logs generate massive numbers of events, resulting in extremely large provenance graphs that not only hinder efficient security analysis but also impose significant storage a...

Ning An, Yan Zhu, Wen-Hao Yan et al. · 0 citations

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