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Provenance-based Intrusion Detection: Opportunities and Challenges
June 04, 2018 Β· Declared Dead Β· π Workshop on the Theory and Practice of Provenance
"No code URL or promise found in abstract"
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Authors
Xueyuan Han, Thomas Pasquier, Margo Seltzer
arXiv ID
1806.00934
Category
cs.CR: Cryptography & Security
Cross-listed
eess.SY
Citations
51
Venue
Workshop on the Theory and Practice of Provenance
Last Checked
5 months ago
Abstract
Intrusion detection is an arms race; attackers evade intrusion detection systems by developing new attack vectors to sidestep known defense mechanisms. Provenance provides a detailed, structured history of the interactions of digital objects within a system. It is ideal for intrusion detection, because it offers a holistic, attack-vector-agnostic view of system execution. As such, provenance graph analysis fundamentally strengthens detection robustness. We discuss the opportunities and challenges associated with provenance-based intrusion detection and provide insights based on our experience building such systems.
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