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A Network Intrusion Detection Method Using Dempster-Shafer Theory

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12510%2F09%3A00011069" target="_blank" >RIV/60076658:12510/09:00011069 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    A Network Intrusion Detection Method Using Dempster-Shafer Theory

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Others

  • Publication year

    2009

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Technical Computing Prague 2009

  • ISBN

    978-80-7080-733-0

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

  • Publisher name

    Humusoft, s.r.o.

  • Place of publication

    Praha

  • Event location

    Praha

  • Event date

    Nov 19, 2009

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article