| id: | 30147 |
|---|---|
| Title: | Mathematical model and structure of a neural network for detection of cyber attacks on information and communication systems |
| Authors: | Zahoruiko L., Martianova T., Al-Hiari M., Polovenko L., Kovalchuk M., Merinova S., Shakhov V., Yeraliyeva B. |
| Keywords: | neural networks, network traffic, network connection, cyber attack, information and communication system |
| Date of publication: | 2024-12-28 20:27:17 |
| Last changes: | 2024-12-28 20:27:17 |
| Year of publication: | 2024 |
| Summary: | 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. |
| URI: | http://sel.vtei.edu.ua/card.php?id=30147 |
| Publication type: | Стаття Scopus |
| Publication: | Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska. 2024. Vol. 14, № 3. P. 49-55. DOI: https://doi.org/10.35784/iapgos.6155 |
| In the collections: | Публікація у Scopus/ Публікації в наукометричних базах даних/ Видання інших установ/ |
| Published by: | Адміністратор |
| File : 30147.pdf Size : 842907 byte Format : Adobe PDF Access : For all | |
|
| |