BPGV: Behavioral provenance graph views to enhance anomaly detection

Provenance-based Intrusion Detection Systems (PIDS) have shown potential in mitigating cyber threats in dynamic real-world environments. PIDS construct provenance graphs from audit logs to detect anomalous nodes, edges, or subgraph patterns. However, as provenance graphs grow in complexity, timely a...

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Bibliographic Details

Published in:	International Journal of Information Management Data Insights
Main Authors:	Michael Zipperle, Yu Zhang, Min Wang, Elizabeth Chang, Tharam Dillon
Format:	Article
Language:	English
Published:	Elsevier 2026-06-01
Subjects:	Anomaly detection Graph data analysis Graph summarization Intrusion detection systems Provenance graphs Subgraph extraction
Online Access:	http://www.sciencedirect.com/science/article/pii/S2667096826000108