A multinomial logistic regression modeling approach for anomaly intrusion detection

Computers and Security

Volumn 24, Issue 8, 2005, Pages 662-674

  Wang, Yun ^a,b,c  

^a YALE UNIVERSITY   (United States)

^b QUALIDIGM   (United States)

^c YALE UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Bootstrap; Classification; Computer security; Intrusion detection; Multinomial logistic regression model

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); COMPUTER SCIENCE; COMPUTER SIMULATION; DECISION THEORY; LOGISTICS; MATHEMATICAL MODELS; SECURITY OF DATA; TREES (MATHEMATICS);

BOOTSTRAP; CLASSIFICATION; INTRUSION DETECTION; MULTINOMIAL LOGISTIC REGRESSION MODELS;

REGRESSION ANALYSIS;

EID: 28044470097     PISSN: 01674048     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cose.2005.05.003     Document Type: Article

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