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
1687,mastersthesis,Kunz22,Severin Kunz,,Novel Artificial Intelligence Techniques and System Calls to Detect Heterogeneous Malware Affecting IoT Spectrum Sensors,"Alberto Huertas Celdran, Jan Von der Assen",Universität Zürich,"Communication Systems Group, Department of Informatics",,,,"Zürich, Switzerland",,2022-11-09,,,,,,,,,,,,,,,https://files.ifi.uzh.ch/CSG/staff/vonderassen/extern/theses/ma-kunz.pdf,