Building a provenance-based IDS and the questions we ask ourselves
Nov 11, 2019
Abstract
Provenance is the representation of a system execution as a directed acyclic graph. Whole-system provenance graph, representing the execution of an entire system from initialization to shut down, can be comprised of millions of graph elements. It is believed that the use of such graphs can help build better intrusion detection systems. We have attempted to build full stack intrusion detection systems from kernel capture up to the data analysis. In the spirit of a constructive workshop, in this talk, I will present those attempts discussing our design decisions and the questions that we need to answer.
Location
The Alan Turing Institute, London
Authors
Associate Professor
I am an Associate Professor at the University of Oxford, where I am a member of the Security and Systems research themes.
Previously, I was an Assistant Professor in the Department of Computer Science at the University of British Columbia and remain affiliated with the UBC Security & Privacy Group and the Systopia Lab.
My research asks a fundamental question: How do we make complex systems observable enough to secure, understand, and safely modify them? I explore this question through work on system auditing and accountability, intrusion detection, and mechanisms for safely extending and optimizing complex systems.