id doaj-41d88aba74c04331a0e3540159f567ee
record_format Article
spelling doaj-41d88aba74c04331a0e3540159f567ee2020-11-25T01:39:10ZengNational Defense University Barbaros Naval Sciences and Engineering Institute Journal of Naval Science and EngineeringJournal of Naval Science and Engineering1304-20252013-11-0192111891A Real-Time System For Abusive Network Traffic DetectionGeorgios KAKAVELAKIShttp://dergipark.gov.tr/jnse/issue/9999/123517?publisher=msuNetwork traffic spam machine learning system analysis auto-learning-
collection DOAJ
language English
format Article
sources DOAJ
author Georgios KAKAVELAKIS
spellingShingle Georgios KAKAVELAKIS
A Real-Time System For Abusive Network Traffic Detection
Journal of Naval Science and Engineering
Network traffic
spam
machine learning
system analysis
auto-learning
-
author_facet Georgios KAKAVELAKIS
author_sort Georgios KAKAVELAKIS
title A Real-Time System For Abusive Network Traffic Detection
title_short A Real-Time System For Abusive Network Traffic Detection
title_full A Real-Time System For Abusive Network Traffic Detection
title_fullStr A Real-Time System For Abusive Network Traffic Detection
title_full_unstemmed A Real-Time System For Abusive Network Traffic Detection
title_sort real-time system for abusive network traffic detection
publisher National Defense University Barbaros Naval Sciences and Engineering Institute Journal of Naval Science and Engineering
series Journal of Naval Science and Engineering
issn 1304-2025
publishDate 2013-11-01
topic Network traffic
spam
machine learning
system analysis
auto-learning
-
url http://dergipark.gov.tr/jnse/issue/9999/123517?publisher=msu
work_keys_str_mv AT georgioskakavelakis arealtimesystemforabusivenetworktrafficdetection
AT georgioskakavelakis realtimesystemforabusivenetworktrafficdetection
_version_ 1725050115507355648