Email this article The adaptive firewall with log predictive analysis based on neural network
- Authors: Kuznetsov D.A.1, Rysin M.L.1
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Affiliations:
- Russian Technological University — MIREA
- Issue: Vol 32, No 3 (2026)
- Pages: 149-156
- Section: Information security
- Published: 13.03.2026
- URL: https://journals.eco-vector.com/1684-6400/article/view/704122
- DOI: https://doi.org/10.17587/it.32.149-156
- ID: 704122
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Abstract
The article considers the development of an adaptive IDS/IPS system based on neural networks, capable of detecting both known and previously unknown attacks. The analysis is conducted using the NF-ToN-IoT dataset. Three neural networks were trained: for attack detection, attack type identification, and unknown threat prediction. The results demonstrate high attack detection accuracy (96.97 %) and the ability to identify new threats (81.94 %), surpassing existing solutions.The developed firewall and intrusion prevention system demonstrates high efficiency, enabling the creation of a domestic security system capable of minimizing the risk of hacker attacks and ensuring reliable protection of network infrastructure.
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About the authors
D. A. Kuznetsov
Russian Technological University — MIREA
Author for correspondence.
Email: daniil.kuznetsov2001@mail.ru
Master’s Degree Student
Russian Federation, MoscowM. L. Rysin
Russian Technological University — MIREA
Email: rysin@mirea.ru
Cand. of Pedagog. Sc.
Russian Federation, MoscowReferences
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