About: Scaling IDS construction based on non-negative matrix factorization using GPU computing

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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	Attacks on the computer infrastructures are becoming an increasingly serious problem. Whether it is banking, e-commerce businesses, health care, law enforcement, air transportation, or education, we are all becoming increasingly reliant upon the networked computers. The possibilities and opportunities are limitless; unfortunately, so too are the risks and chances of malicious intrusions. Intrusion detection is required as an additional wall for protecting systems despite of prevention techniques and is useful not only in detecting successful intrusions, but also in monitoring attempts to security, which provides important information for timely countermeasures. This paper presents some improvements to some of our previous approaches using a Non-negative Matrix factorization approach. To improve the performance (detection accuracy) and computational speed (scaling) a GPU implementation is detailed. Empirical results indicate that the speedup was up to 500x for the training phase and up to 190x for the testing phase. Attacks on the computer infrastructures are becoming an increasingly serious problem. Whether it is banking, e-commerce businesses, health care, law enforcement, air transportation, or education, we are all becoming increasingly reliant upon the networked computers. The possibilities and opportunities are limitless; unfortunately, so too are the risks and chances of malicious intrusions. Intrusion detection is required as an additional wall for protecting systems despite of prevention techniques and is useful not only in detecting successful intrusions, but also in monitoring attempts to security, which provides important information for timely countermeasures. This paper presents some improvements to some of our previous approaches using a Non-negative Matrix factorization approach. To improve the performance (detection accuracy) and computational speed (scaling) a GPU implementation is detailed. Empirical results indicate that the speedup was up to 500x for the training phase and up to 190x for the testing phase. (en)
Title	Scaling IDS construction based on non-negative matrix factorization using GPU computing Scaling IDS construction based on non-negative matrix factorization using GPU computing (en)
skos:prefLabel	Scaling IDS construction based on non-negative matrix factorization using GPU computing Scaling IDS construction based on non-negative matrix factorization using GPU computing (en)
skos:notation	RIV/61989100:27240/10:86085029!RIV13-MPO-27240___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(FR-TI1/420)
http://linked.open...vai/riv/dodaniDat	2013
http://linked.open...aciTvurceVysledku	Snášel, Václav Platoš, Jan Krömer, Pavel Abraham Padath, Ajith
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	286423
http://linked.open...ai/riv/idVysledku	RIV/61989100:27240/10:86085029
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	non-negative matrix factorization; intrusion detection; GPU computing (en)
http://linked.open.../riv/klicoveSlovo	intrusion detection GPU computing non-negative matrix factorization
http://linked.open...ontrolniKodProRIV	[1EC92BB60A4E]
http://linked.open...v/mistoKonaniAkce	Atlanta
http://linked.open...i/riv/mistoVydani	Piscataway
http://linked.open...i/riv/nazevZdroje	2010 6th International Conference on Information Assurance and Security, IAS 2010
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	4 (xsd:int)
http://linked.open...cetTvurcuVysledku	4 (xsd:int)
http://linked.open...vavai/riv/projekt	*Integrovaný softwarový systém pro optimalizaci řízení technologických procesů a predikci kvality produkce velkých technologických celků využívající pokročilé matematické metody, modelování a umělou inteligenci
http://linked.open...UplatneniVysledku	2010
http://linked.open...iv/tvurceVysledku	Abraham Padath, Ajith Krömer, Pavel Platoš, Jan Snášel, Václav
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2010-08-23 (xsd:date)
number of pages	6 (xsd:int)
http://bibframe.org/vocab/doi	10.1109/ISIAS.2010.5604048
http://purl.org/ne...btex#hasPublisher	IEEE
https://schema.org/isbn	978-1-4244-7408-0
http://localhost/t...ganizacniJednotka	27240
is http://linked.open...avai/riv/vysledek of	Scaling IDS construction based on non-negative matrix factorization using GPU computing

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