A comprehensive intrusion detection framework using boosting algorithms

•A new cyber security intrusion detection dataset (CCiDD) has been created by performing various scenarios with today's widely used attack methods and internet applications.•The most optimum features of the data sets have been selected with the extra tree algorithm in order to process the data...

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Veröffentlicht in:	Computers & electrical engineering Jg. 100; S. 107869
Hauptverfasser:	Kilincer, Ilhan Firat, Ertam, Fatih, Sengur, Abdulkadir
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier Ltd 01.05.2022 Elsevier BV
Schlagworte:	Algorithms Boosting algorithms Classification Classifiers Cyber security Cybersecurity Datasets Extra tree algorithm IDS Intrusion detection systems Machine learning Optimization Parameters System effectiveness IDS Extra tree algorithm Cyber security Boosting algorithms Machine learning
ISSN:	0045-7906, 1879-0755
Online-Zugang:	Volltext
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