Python in Science Conference (SciPy)
Published July 10, 2024 | Version v1
Presentation Open

Vector space embeddings and data maps for cyber defense

Authors/Creators

  • 1. Tutte Institute for Mathematics and Computing

Contributors

  • 1. GDI
  • 2. SLB
  • 3. University of North Carolina
  • 4. Curvenote
  • 5. Deloitte
  • 6. Aptos
  • 7. Arm

Description

Cyber defense, and in particular threat detection, requires gaining insight from very large amounts of telemetry data, using unsupervised learning. This talk presents a method for embedding such data in vector spaces and exploring it through interactive visualization and labeling, using data maps. We demonstrate this method by looking at the baseline behaviours of hosts in the open ACME3 dataset of host-based telemetry.

Files

slides-scipy2024-vector-space-embeddings-and-data-maps-for-cyber-defense.pdf

Files (3.3 MB)