Intrusion detection system based on neural networks

dc.contributor.authorSachenko, Anatoliy
dc.contributor.authorKomar, Myroslav
dc.date.accessioned2016-12-07T10:44:07Z
dc.date.available2016-12-07T10:44:07Z
dc.date.issued2014
dc.description.abstractDesigning the neural network detector of attacks using the vector quantization is considered in this paper. It's based on improved method for hierarchical classification of computer attacks and the information compression using principal component analysis and combining the neural network detectorsuk_UA
dc.identifier.issn1641-3466
dc.identifier.urihttp://dspace.tneu.edu.ua/handle/316497/6481
dc.language.isoenuk_UA
dc.publisherZESZYTY NAUKOWE POLITECHNIKI ŚLĄSKIEJuk_UA
dc.relation.ispartofseriesORGANIZACJA I ZARZĄDZANIE;z. 68
dc.subjectintrusion detection system, neural networks, principal component analysisuk_UA
dc.subjectsystem wykrywania włamań, sieci neuronowe, analiza głównych składowychuk_UA
dc.titleIntrusion detection system based on neural networksuk_UA
dc.title.alternativeSystem wykrywania włamań opartych na sieciach neuronowychuk_UA
dc.typeArticleuk_UA

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Sachenko_ZNPSL Org. Zarz_68_2014.pdf
Size:
346.33 KB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
2.37 KB
Format:
Item-specific license agreed upon to submission
Description:

Collections