English

Provenance-based Intrusion Detection: Opportunities and Challenges

Cryptography and Security 2018-06-05 v1 Systems and Control

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.

Keywords

Cite

@article{arxiv.1806.00934,
  title  = {Provenance-based Intrusion Detection: Opportunities and Challenges},
  author = {Xueyuan Han and Thomas Pasquier and Margo Seltzer},
  journal= {arXiv preprint arXiv:1806.00934},
  year   = {2018}
}

Comments

4 pages, TaPP'18

R2 v1 2026-06-23T02:17:42.630Z