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

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DOI

Lubov Zahoruiko

l.zahoruiko@donnu.edu.ua

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

zagorujko2016@gmail.com

Mohammad Al-Hiari

hiari5355@yahoo.com

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

l.polovenko@donnu.edu.ua

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

maya.kovalchuk@gmail.com

Svitlana Merinova

s.merinova@vtei.edu.ua

Volodymyr Shakhov

shahovu2016@gmail.com

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

yeraliyevabakhyt81@gmail.com

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.

References

Article Details

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