Open AccessM2KMIX: Identifying the Type of High Rate Flooding Attacks using a Mixture of Expert Systems
Author(s) -
P. Arun Raj Kumar,
S. Selvakumar
Publication year - 2012
Publication title -
international journal of computer network and information security
Language(s) - English
Resource type - Journals
eISSN - 2074-9104
pISSN - 2074-9090
DOI - 10.5815/ijcnis.2012.01.01
Subject(s) - computer science , flooding (psychology) , data mining , server , false positive rate , artificial intelligence , feature selection , random forest , classifier (uml) , machine learning , identification (biology) , entropy (arrow of time) , computer network , psychology , psychotherapist , botany , physics , quantum mechanics , biology
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