Organization of security control of wireless telecommunication network based on fuzzy networks

• Autorzy: Aleksander M. B. , Karpinskyi V. , Khlaponin Y. , Yudin O.
• Języki publikacji: EN

Abstrakty

EN

The problem solution of security control of wireless computer network nodes, which is based on the use of the apparatus of fuzzy sets is presented in this article. The approach used in the paper aims to an automation that will improve the efficiency of control of the nodes and operations of a network administrator. The approach allows forming a system of security control of the wireless computer network based on neuro-fuzzy (hybrid) network, which is characterized by high adaptability, ease use, the ability to identify better the sequence of the analysis of vulnerabilities in the wireless computer network nodes. The feature of the proposed approach takes the dynamic nature of the wireless computer network into account.

Słowa kluczowe

EN

linguistic variable; neuro-fuzzy network; neural network; wireless network

• Wydawca: Wydawnictwo PAK
• Czasopismo: Measurement Automation Monitoring
• Rocznik: 2016
• Tom: Vol. 62, No. 10
• Strony: 341--344
• Opis fizyczny: Bibliogr. 6 poz., rys., tab., wykr., wzory

Twórcy

autor

Aleksander M. B.

• State Higher Vocational School in Nowy Sacz, Institute of Engineering, 1 Zamenhofa St., 33-300 Nowy Sacz PL

autor

Karpinskyi V.

• State Higher Vocational School in Nowy Sach, Institute of Engineering, 1 Zamenhofa St., 33-300 Nowy Sacz PL

autor

Khlaponin Y.

• State Higher Vocational School in Nowy Sacz, Institute of Engineering, 1 Zamenhofa St., 33-300 Nowy Sacz PL

autor

Yudin O.

• State Higher Vocational School in Nowy Sacz, Institute of Engineering, 1 Zamenhofa St., 33-300 Nowy Sacz PL

Bibliografia

• [1] Ross T. J.: Fuzzy Logic with Engineering Applications, 3rd Edition, Fabulous Printers Pte Ltd, Singapore, 2010.
• [2] Rashid T.: Make Your Own Neural Network, CreateSpace Independent Publishing Platform, 2016.
• [3] Chesney W.: Fuzzy Logic , Neural Network & Genetic Algorithms Handbook : Theory , Programming & Applications, Auris Reference, London, 2012..
• [4] Yudin O., Khlaponin Y.: Kontrol zachyszczennosti bezdrotowych kompiuternych merezh. Nauka i technika Powitrjanych Zbrojnych Sył Ukrainy, no 2(19), pp. 92-96, 2015, (in Ukrainian).
• [5] Minh N. D.: THE Effects of Training Data in the Learning Process of Adaptive Neural Fuzzy Networks for Solving the Problem of Classification of Details: http://research-journal.org/technical/ vliyanie -obuchayushhix-vyborok-na-process-obucheniya-adaptivnyx-nejro-nechetkix-setej-dlya-resheniya-zadachi-klassifikacij-detalej, 10.09.2016.
• [6] Draper N. R., Smith H.: Applied Regression Analysis, Third Edition, Wiley, 2014.

Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).