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Autoren:
Renners, Leonard 
Dokumenttyp:
Dissertation / Thesis 
Titel:
Adaptive Prioritization of Network Security Incidents 
Betreuer:
Dreo Rodosek, Gabi, Prof. Dr. 
Gutachter:
Dreo Rodosek, Gabi, Prof. Dr.; Heine, Felix, Prof. Dr. 
Tag der mündlichen Prüfung:
09.07.2020 
Publikationsdatum:
26.10.2020 
Jahr:
2020 
Sprache:
Englisch 
Schlagwörter:
Internet ; Computersicherheit ; Cyberattacke ; Priorität ; Maschinelles Lernen ; Hochschulschrift 
Stichwörter:
incident prioritization; network security; cyber security; machine learning 
Abstract:
With the ever rising amount of security and alert information in IT, incident prioritization becomes increasingly important, and is therefore nowadays part of many approaches and tools for network security. A key challenge is, however, a correct prioritization of the events. Currently, the calculation of priorities is rather static, and needs to be defined manually. Incorrect prioritization cannot be reliably or permanently avoided and leads to threatening situations and an increased effort in i...    »
 
DDC-Notation:
005.8 
Fakultät:
Fakultät für Informatik 
Institut:
INF 3 - Institut für Technische Informatik 
Professur:
Dreo Rodosek, Gabi 
Open Access ja oder nein?:
Ja / Yes