CSG ID | 1963 |
Type | Theses: Master Thesis (MA) |
BibTeX Key | husselman2024 |
Author(s) | Layla Husselman |
Title | Anomaly Detection with Windows Event Logs: A comparative study between traditional and ML based approaches |
Supervisor(s) | Thomas Grübl Alberto Huertas Burkhard Stiller |
Institution | Universität Zürich |
Department | Communication Systems Group, Department of Informatics |
Publication Place | Zürich, Switzerland |
Date | 1. October 2024 |
Official URL | https://files.ifi.uzh.ch/CSG/staff/gruebl/extern/theses/ma-husselman.pdf |