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Publication Details

CSG ID1963
TypeTheses: Master Thesis (MA)
BibTeX Keyhusselman2024
Author(s)Layla Husselman
TitleAnomaly Detection with Windows Event Logs: A comparative study between traditional and ML based approaches
Supervisor(s)Thomas Grübl
Alberto Huertas
Burkhard Stiller
InstitutionUniversität Zürich
DepartmentCommunication Systems Group, Department of Informatics
Publication PlaceZürich, Switzerland
Date1. October 2024
Official URLhttps://files.ifi.uzh.ch/CSG/staff/gruebl/extern/theses/ma-husselman.pdf