ProvG-Searcher: A Graph Representation Learning Approach for Efficient Provenance Graph Search
Enes Altinisik,
Fatih Deniz,
Hüsrev Taha Sencar
Abstract:We present ProvG-Searcher, a novel approach for detecting known APT behaviors within system security logs. Our approach leverages provenance graphs, a comprehensive graph representation of event logs, to capture and depict data provenance relations by mapping system entities as nodes and their interactions as edges. We formulate the task of searching provenance graphs as a subgraph matching problem and employ a graph representation learning method. The central component of our search methodology involves embed… Show more
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