About: Detecting Insider Attacks Using Non-negative Matrix Factorization

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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)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	It is a fact that vast majority of attention is given to protecting against external threats, which are considered more dangerous. However, some industrial surveys have indicated they have had attacks reported internally. Insider Attacks are an unusual type of threat which are also serious and very common. Unlike an external intruder, in the case of internal attacks, the intruder is someone who has been entrusted with authorized access to the network. This paper presents a Non-negative matrix factorization approach to detect inside attacks. Comparisons with other established pattern recognition techniques reveal that the non-negative matrix factorization approach could be also an ideal candidate to detect internal threats. It is a fact that vast majority of attention is given to protecting against external threats, which are considered more dangerous. However, some industrial surveys have indicated they have had attacks reported internally. Insider Attacks are an unusual type of threat which are also serious and very common. Unlike an external intruder, in the case of internal attacks, the intruder is someone who has been entrusted with authorized access to the network. This paper presents a Non-negative matrix factorization approach to detect inside attacks. Comparisons with other established pattern recognition techniques reveal that the non-negative matrix factorization approach could be also an ideal candidate to detect internal threats. (en)
Title	Detecting Insider Attacks Using Non-negative Matrix Factorization Detecting Insider Attacks Using Non-negative Matrix Factorization (en)
skos:prefLabel	Detecting Insider Attacks Using Non-negative Matrix Factorization Detecting Insider Attacks Using Non-negative Matrix Factorization (en)
skos:notation	RIV/61989100:27240/09:00020977!RIV10-GA0-27240___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(GA102/09/1494)
http://linked.open...vai/riv/dodaniDat	2010
http://linked.open...aciTvurceVysledku	Snášel, Václav Platoš, Jan
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
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	309759
http://linked.open...ai/riv/idVysledku	RIV/61989100:27240/09:00020977
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	intrusion detection; non-negative matrix factorization (en)
http://linked.open.../riv/klicoveSlovo	intrusion detection non-negative matrix factorization
http://linked.open...ontrolniKodProRIV	[247B8A5D4F78]
http://linked.open...v/mistoKonaniAkce	Xi'An, China
http://linked.open...i/riv/mistoVydani	Los Alamitos, California
http://linked.open...i/riv/nazevZdroje	Fifth International Conference on Information Assurance and Security, 2009. IAS '09
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	4 (xsd:int)
http://linked.open...vavai/riv/projekt	New methods od data transmition based on turbo code
http://linked.open...UplatneniVysledku	2009
http://linked.open...iv/tvurceVysledku	Krömer, Pavel Platoš, Jan Snášel, Václav Abraham, Ajith
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open...ain/vavai/riv/wos	000275852000158
http://linked.open.../riv/zahajeniAkce	2009-08-18 (xsd:date)
number of pages	4 (xsd:int)
http://purl.org/ne...btex#hasPublisher	IEEE Computer Society
https://schema.org/isbn	978-0-7695-3744-3
http://localhost/t...ganizacniJednotka	27240
is http://linked.open...avai/riv/vysledek of	Detecting Insider Attacks Using Non-negative Matrix Factorization Detecting Insider Attacks Using Non-negative Matrix Factorization Detecting Insider Attacks Using Non-negative Matrix Factorization Detecting Insider Attacks Using Non-negative Matrix Factorization

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