Provenance-based Intrusion Detection: Opportunities and Challenges


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.

Jul 11, 2018 12:00 PM
London, UK
Thomas Pasquier
Thomas Pasquier
Assistant Professor

My research interests include provenance, operating systems, distributed systems and intrusion detection.