Open AccessNETWORK TRAFFIC ANOMALIES DETECTION BASED ON INFORMATIVE FEATURES
Author(s) -
Yadigar İmamverdiyev,
Lyudmila Sukhostat
Publication year - 2017
Publication title -
radìoelektronìka, ìnformatika, upravlìnnâ/radìoelektronika, ìnformatika, upravlìnnâ
Language(s) - Uncategorized
Resource type - Journals
eISSN - 2313-688X
pISSN - 1607-3274
DOI - 10.15588/1607-3274-2017-3-13
Subject(s) - computer science , naive bayes classifier , data mining , feature selection , artificial intelligence , pattern recognition (psychology) , traffic classification , anomaly detection , random forest , computation , machine learning , support vector machine , algorithm , quality of service , computer network