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Program Systems: Theory and Applications, 2011, Volume 2, Issue 3, Pages 3–15 (Mi ps38)  
This article is cited in 3 scientific papers (total in 3 papers)

Artificial Intelligence, Intelligent Systems, Neural Networks

Neural network technology of detection network attacks on information resources

J. G. Emelyanova, A. A. Talalaev, I. P. Tishchenko, V. P. Fralenko

Program Systems Institute of RAS, Pereslavl'-Zalesskii, Yaroslavskaya obl.
Full-text PDF (596 kB) Citations (3)
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Abstract: The article describes neural network approach, combining the speed of network traffic processing through compression characteristics and high efficiency of network attacks detection. Experimental results are presented.
Key words and phrases: artificial neural network, network attack, computing systems, feature mining, classification.
Document Type: Article
UDC: 004.042
Language: Russian
Citation: J. G. Emelyanova, A. A. Talalaev, I. P. Tishchenko, V. P. Fralenko, “Neural network technology of detection network attacks on information resources”, Program Systems: Theory and Applications, 2:3 (2011), 3–15
Citation in format AMSBIB
\Bibitem{EmeTalTis11}
\by J.~G.~Emelyanova, A.~A.~Talalaev, I.~P.~Tishchenko, V.~P.~Fralenko
\paper Neural network technology of detection network attacks on information resources
\jour Program Systems: Theory and Applications
\yr 2011
\vol 2
\issue 3
\pages 3--15
\mathnet{http://mi.mathnet.ru/ps38}
Linking options:
  • https://www.mathnet.ru/eng/ps38
  • https://www.mathnet.ru/eng/ps/v2/i3/p3
    • This publication is cited in the following 3 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Program Systems: Theory and Applications
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    Abstract page:379
    Full-text PDF :210
    References:27
    First page:1
     
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