MATHEMATICAL MODEL AND STRUCTURE OF A NEURAL NETWORK FOR DETECTION OF CYBER ATTACKS ON INFORMATION AND COMMUNICATION SYSTEMS

Lubov Zahoruiko; Tetiana Martianova; Mohammad Al-Hiari; Lyudmyla  Polovenko; Maiia Kovalchuk; Svitlana Merinova; Volodymyr Shakhov; Bakhyt Yeraliyeva

doi:10.35784/iapgos.6155

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Published: Sep 30, 2024

DOI: https://doi.org/10.35784/iapgos.6155

Issue Vol. 14 No. 3 (2024)

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DOI

https://doi.org/10.35784/iapgos.6155

Authors

Lubov Zahoruiko

l.zahoruiko@donnu.edu.ua

Vinnytsia National Technical University, Ukraine

https://orcid.org/0000-0002-6958-8696

Tetiana Martianova

zagorujko2016@gmail.com

Vinnytsia Regional Youth Centre Kvadrat, Ukraine

Mohammad Al-Hiari

hiari5355@yahoo.com

Jadara University, Jordan

https://orcid.org/0009-0002-2770-5417

Lyudmyla Polovenko

l.polovenko@donnu.edu.ua

Vinnytsia National Technical University, Ukraine

https://orcid.org/0000-0002-9909-825X

Maiia Kovalchuk

maya.kovalchuk@gmail.com

Vinnytsia National Technical University, Ukraine

Svitlana Merinova

s.merinova@vtei.edu.ua

Vinnitsia Institute of Trade and Economics of Kyiv National University of Trade and Economics. , Ukraine

Volodymyr Shakhov

shahovu2016@gmail.com

Vinnytsia Mykhailo Kotsiubynskyi State Pedagogical University, Ukraine

https://orcid.org/0000-0003-1535-2802

Bakhyt Yeraliyeva

yeraliyevabakhyt81@gmail.com

M. Kh. Dulaty Taraz Regional University, Kazakhstan

Abstract

The paper discusses the principles of creating a mathematical model and system architecture by applying the method of artificial intelligence to detect cyberattacks on information and communication systems, where a neural network capable of learning and detecting cyberattacks is used. The proposed approach, based on the application of the developed mathematical model and architecture of artificial neural networks, as a detector of network attacks on information and communication systems, allows to increase the level of detection of network intrusions into computer systems, Web and Internet resources. An algorithm for processing network traffic parameters in real-time systems by structuring a neural network is proposed, which allows to optimize the redundancy of its multi-level structure at the level of inter-element connections.

Keywords:

neural networks, network traffic, network connection, cyber attack, information and communication system.

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Zahoruiko, L., Martianova, T., Al-Hiari, M., Polovenko, L., Kovalchuk, M., Merinova, S., … Yeraliyeva, B. (2024). MATHEMATICAL MODEL AND STRUCTURE OF A NEURAL NETWORK FOR DETECTION OF CYBER ATTACKS ON INFORMATION AND COMMUNICATION SYSTEMS. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 14(3), 49–55. https://doi.org/10.35784/iapgos.6155

MATHEMATICAL MODEL AND STRUCTURE OF A NEURAL NETWORK FOR DETECTION OF CYBER ATTACKS ON INFORMATION AND COMMUNICATION SYSTEMS

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