Intrusion detection system based on neural networks

• Autorzy: Sachenko A. , Komar M.

Warianty tytułu

PL

System wykrywania włamań opartych na sieciach neuronowych

• Języki publikacji: EN

Abstrakty

EN

Designing 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 the principal component analysis and combining the neural network detectors.

PL

W artykule zaprezentowano podejście do projektowania detektora ataków komputerowych za pomocą sieci neuronowej i kwantyzacji wektorowej. Bazuje ono na ulepszonej metodzie hierarchicznej klasyfikacji ataków komputerowych i kompresji informacji za pomocą analizy głównych składowych i łączenia sieci neuronowych detektorów.

Słowa kluczowe

EN

intrusion detection system; neural networks; principal component analysis

PL

system wykrywania włamań; sieci neuronowe; analiza głównych składowych

• Wydawca: Wydawnictwo Politechniki Śląskiej
• Czasopismo: Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska
• Rocznik: 2014
• Tom: z. 68
• Strony: 377--386
• Opis fizyczny: Bibliogr. 19 poz.

Twórcy

autor

Sachenko A.

• Silesian University of Technology Department of Computer Science and Econometrics

autor

Komar M.

• Ternopil National Economic University Research Institute for Intelligent Computer Systems

Bibliografia

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• 11. Komar M.: Methods of artificial neural networks for network intrusion detection// Proceedings of the Seventh International Scientific Conference “Internet - Education - Science – 2010”, Vinnitsa (Ukraine), 2010, p. 410-413.
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• 17. KDD Cup 1999 Data / The UCI KDD Archive, Information and Computer Science. – University of California, Irvine, 1999.
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