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Structure of a Distributed System for Ensuring Reliable Security in IoT. / Дегтярев, Александр Борисович; Дик, Геннадий Давидович; Хакизимана, Эвелин.

в: Physics of Particles and Nuclei, Том 57, № 4, 20.07.2026, стр. 833-836.

Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование

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@article{6d0bf4bfa74d429a926eb6e0a3047f3e,
title = "Structure of a Distributed System for Ensuring Reliable Security in IoT",
abstract = "Abstract: The rapid growth of the Internet of Things (IoT), especially in vulnerable regions such as Africa, has increased the risk of distributed denial of service (DDoS) attacks from AI-based botnets. This study introduces an adaptive intelligence model that combines LSTM, SOM, and ART models to detect and mitigate such threats in parallel. Evaluated using standard metrics, the model offers a scalable and practical solution for strengthening IoT security against evolving attack strategies.",
author = "Дегтярев, {Александр Борисович} and Дик, {Геннадий Давидович} and Эвелин Хакизимана",
year = "2026",
month = jul,
day = "20",
doi = "10.1134/S106377962670098X",
language = "English",
volume = "57",
pages = "833--836",
journal = "Physics of Particles and Nuclei",
issn = "1063-7796",
publisher = "МАИК {"}Наука/Интерпериодика{"}",
number = "4",

}

RIS

TY - JOUR

T1 - Structure of a Distributed System for Ensuring Reliable Security in IoT

AU - Дегтярев, Александр Борисович

AU - Дик, Геннадий Давидович

AU - Хакизимана, Эвелин

PY - 2026/7/20

Y1 - 2026/7/20

N2 - Abstract: The rapid growth of the Internet of Things (IoT), especially in vulnerable regions such as Africa, has increased the risk of distributed denial of service (DDoS) attacks from AI-based botnets. This study introduces an adaptive intelligence model that combines LSTM, SOM, and ART models to detect and mitigate such threats in parallel. Evaluated using standard metrics, the model offers a scalable and practical solution for strengthening IoT security against evolving attack strategies.

AB - Abstract: The rapid growth of the Internet of Things (IoT), especially in vulnerable regions such as Africa, has increased the risk of distributed denial of service (DDoS) attacks from AI-based botnets. This study introduces an adaptive intelligence model that combines LSTM, SOM, and ART models to detect and mitigate such threats in parallel. Evaluated using standard metrics, the model offers a scalable and practical solution for strengthening IoT security against evolving attack strategies.

UR - https://www.mendeley.com/catalogue/0b7bc5a1-d8b9-3061-9088-02f9c0212923/

U2 - 10.1134/S106377962670098X

DO - 10.1134/S106377962670098X

M3 - Article

VL - 57

SP - 833

EP - 836

JO - Physics of Particles and Nuclei

JF - Physics of Particles and Nuclei

SN - 1063-7796

IS - 4

ER -

ID: 149186314