A multinomial logistic regression modeling approach for anomaly intrusion detection

Although researchers have long studied using statistical modeling techniques to detect anomaly intrusion and profile user behavior, the feasibility of applying multinomial logistic regression modeling to predict multi-attack types has not been addressed, and the risk factors associated with individu...

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Veröffentlicht in:	Computers & security Jg. 24; H. 8; S. 662 - 674
1. Verfasser:	Wang, Yun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.11.2005
Schlagworte:	Bootstrap Classification Computer security Intrusion detection Multinomial logistic regression model Bootstrap Multinomial logistic regression model Computer security Intrusion detection Classification
ISSN:	0167-4048, 1872-6208
Online-Zugang:	Volltext
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