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Erschienen in: Automatic Control and Computer Sciences 8/2021

01.12.2021

Application of Neuro-Fuzzy Inference to Detect Network Scanning

verfasst von: M. O. Kalinin

Erschienen in: Automatic Control and Computer Sciences | Ausgabe 8/2021

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Abstract—

Neuro-fuzzy systems, the hybrid computational structures integrating elements of artificial networks and fuzzy logic, are reviewed. Modern neuro-fuzzy systems are investigated, a neuro-fuzzy toolkit for detecting network scanning using a neuro-fuzzy system is proposed, and efficiency analysis of the given technology is carried out. The applicability of hybrid neuro-fuzzy system combining a neural network of signal forward propagation and the basis of Takagi–Sugeno fuzzy inference are substantiated and confirmed.
Literatur
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Zurück zum Zitat Tsukamoto, Y., An approach to fuzzy reasoning method, Adv. Fuzzy Set Theory Appl., 1979, pp. 137–149. Tsukamoto, Y., An approach to fuzzy reasoning method, Adv. Fuzzy Set Theory Appl., 1979, pp. 137–149.
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Zurück zum Zitat Vieira, J., Dias, F.M., and Mota, A., Neuro-fuzzy systems: a survey, WSEAS Trans. Syst., 2004, vol. 3, no. 2, pp. 414–419. Vieira, J., Dias, F.M., and Mota, A., Neuro-fuzzy systems: a survey, WSEAS Trans. Syst., 2004, vol. 3, no. 2, pp. 414–419.
Metadaten
Titel
Application of Neuro-Fuzzy Inference to Detect Network Scanning
verfasst von
M. O. Kalinin
Publikationsdatum
01.12.2021
Verlag
Pleiades Publishing
Erschienen in
Automatic Control and Computer Sciences / Ausgabe 8/2021
Print ISSN: 0146-4116
Elektronische ISSN: 1558-108X
DOI
https://doi.org/10.3103/S0146411621080150

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