About: Anomaly-based Network Intrusion Detection Methods

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://advances.utc.sk/index.php/AEEE/article/view/877/909
Description	The article deals with detection of network anomalies. Network anomalies include everything that is quite different from the normal operation. For detection of anomalies were used machine learning systems. Machine learning can be considered as a support or a limited type of artificial intelligence. A machine learning system usually starts with some knowledge and a corresponding knowledge organization so that it can interpret, analyse, and test the knowledge acquired. There are several machine learning techniques available. We tested Decision tree learning and Bayesian networks. The open source data-mining framework WEKA was the tool we used for testing the classify, cluster, association algorithms and for visualization our results. The WEKA is a collection of machine learning algorithms for data mining tasks. The article deals with detection of network anomalies. Network anomalies include everything that is quite different from the normal operation. For detection of anomalies were used machine learning systems. Machine learning can be considered as a support or a limited type of artificial intelligence. A machine learning system usually starts with some knowledge and a corresponding knowledge organization so that it can interpret, analyse, and test the knowledge acquired. There are several machine learning techniques available. We tested Decision tree learning and Bayesian networks. The open source data-mining framework WEKA was the tool we used for testing the classify, cluster, association algorithms and for visualization our results. The WEKA is a collection of machine learning algorithms for data mining tasks. (en)
Title	Anomaly-based Network Intrusion Detection Methods Anomaly-based Network Intrusion Detection Methods (en)
skos:prefLabel	Anomaly-based Network Intrusion Detection Methods Anomaly-based Network Intrusion Detection Methods (en)
skos:notation	RIV/61989100:27240/13:86088633!RIV14-MSM-27240___
http://linked.open...avai/riv/aktivita	V
http://linked.open...avai/riv/aktivity	V
http://linked.open...iv/cisloPeriodika	6
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Kapičák, Lukáš Nevlud, Pavel Zdrálek, Jaroslav Bureš, Miroslav
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoká škola báňská - Technická univerzita Ostrava / Fakulta elektrotechniky a informatiky
http://linked.open...dnocenehoVysledku	61318
http://linked.open...ai/riv/idVysledku	RIV/61989100:27240/13:86088633
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Anomaly-based detection, attack, bayesian networks, WEKA (en)
http://linked.open.../riv/klicoveSlovo	Anomaly-based detection WEKA bayesian networks attack
http://linked.open...odStatuVydavatele	CZ - Česká republika
http://linked.open...ontrolniKodProRIV	[D367EF45D4B2]
http://linked.open...i/riv/nazevZdroje	Advances in Electrical and Electronic Engineering
http://linked.open...in/vavai/riv/obor	JC
http://linked.open...ichTvurcuVysledku	4 (xsd:int)
http://linked.open...cetTvurcuVysledku	4 (xsd:int)
http://linked.open...UplatneniVysledku	2013
http://linked.open...v/svazekPeriodika	Vol 11
http://linked.open...iv/tvurceVysledku	Kapičák, Lukáš Nevlud, Pavel Zdrálek, Jaroslav Bureš, Miroslav
issn	1336-1376
number of pages	7 (xsd:int)
http://localhost/t...ganizacniJednotka	27240

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