CSG ID,Type,BibTeX Key,Author(s),Editor(s),Title,Supervisor(s),Institution,Department,Book Title,Series Name,Publisher,Publication Place,How Published,Date,End Date,Subtype,Is Refereed,Presentation Type,Event Title,Event Type,Event Location,Journal Title,Volume,Number,Page Range,ISBN,ISSN,DOI,Official URL,Zora ID
1963,mastersthesis,husselman2024,Layla Husselman,,Anomaly Detection with Windows Event Logs: A comparative study between traditional and ML based approaches,"Thomas Grübl, Alberto Huertas, Burkhard Stiller",Universität Zürich,"Communication Systems Group, Department of Informatics",,,,"Zürich, Switzerland",,2024-10-01,,,,,,,,,,,,,,,https://files.ifi.uzh.ch/CSG/staff/gruebl/extern/theses/ma-husselman.pdf,