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  • An intrusion detection system (IDS) detects unauthorized manipulations of computer systems. Operation as feature reduction (including feature extraction and feature selection) plays an important role in the sense of improving classification performance and reducing the computational complexity of intrusion detection system. Feature reduction is even more important at online detection when less computational power and fast real time delivery compared with offline detection is needed. In this paper, Dempster Shafer theory based on KNN analysis approach is applied to feature extraction in online network intrusion detection problem. We used the KDD Cup 99 data. It has been shown that the Dempster-Shafer KNN classifier will result in higher classification accuracy in comparison with other two KNN classifiers.
  • An intrusion detection system (IDS) detects unauthorized manipulations of computer systems. Operation as feature reduction (including feature extraction and feature selection) plays an important role in the sense of improving classification performance and reducing the computational complexity of intrusion detection system. Feature reduction is even more important at online detection when less computational power and fast real time delivery compared with offline detection is needed. In this paper, Dempster Shafer theory based on KNN analysis approach is applied to feature extraction in online network intrusion detection problem. We used the KDD Cup 99 data. It has been shown that the Dempster-Shafer KNN classifier will result in higher classification accuracy in comparison with other two KNN classifiers. (en)
Title
  • A Network Intrusion Detection Method Using Dempster-Shafer Theory
  • A Network Intrusion Detection Method Using Dempster-Shafer Theory (en)
skos:prefLabel
  • A Network Intrusion Detection Method Using Dempster-Shafer Theory
  • A Network Intrusion Detection Method Using Dempster-Shafer Theory (en)
skos:notation
  • RIV/60076658:12510/09:00011069!RIV10-MSM-12510___
http://linked.open...avai/riv/aktivita
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  • V
http://linked.open...vai/riv/dodaniDat
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http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 301363
http://linked.open...ai/riv/idVysledku
  • RIV/60076658:12510/09:00011069
http://linked.open...riv/jazykVysledku
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  • intrusion detection; belief functions; classification; Dempster-Shafer theory (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [70B7E5C9F7A4]
http://linked.open...v/mistoKonaniAkce
  • Praha
http://linked.open...i/riv/mistoVydani
  • Praha
http://linked.open...i/riv/nazevZdroje
  • Technical Computing Prague 2009
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Beránek, Ladislav
  • Knížek, Jiří
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Humusoft, s.r.o.
https://schema.org/isbn
  • 978-80-7080-733-0
http://localhost/t...ganizacniJednotka
  • 12510
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