This article proposes an approach for detecting and identifying Stuxnet-type cyberattacks in modern Internet of Things (IoT) systems. A model of informative features has been developed, and a knowledge base for detecting such attacks using machine learning methods has been formalized. The proposed approach is based on the analysis of Stuxnet malware characteristics and its adaptation to IoT infrastructure conditions. Experiments were conducted to evaluate the effectiveness of the proposed methods and algorithms. The results demonstrate a high detection accuracy (94.7%) of Stuxnet-type attacks in IoT systems, as well as the capability to identify previously unknown modifications of such attacks.
| Mualliflar | O'rinov, Nodirbek, Мамадалиев, Сарварбек, Бахрамова, Махлиёхон, Aлижонов , Шохислом, Неъматжонов , Aсадбек, Aкбарова , Мадина |
|---|---|
| Jurnal | Al-Farg'oniy avlodlari |
| Nashriyot | ТАТУ Фарғона филиали |
| ISSN | 2181-4252 |
| Nashr sanasi | 2025-06-03 |
| Son | 2 |
| Betlar | 80-86 |
| Til | Ingliz |
| Ilmiy soha | Texnika |
| Indeksga qo‘shilgan | 2026-08-26 |
Stuxnet, Интернет вещей (IoT), информативные признаки, машинное обучение, кибербезопасность, целенаправленные кибератаки, промышленные системы управления, Stuxnet, Internet of Things (IoT), informatsion xususiyatlar, mashinani o'rganish, kiberxavfsizlik, maqsadli kiberhujumlar, sanoat boshqaruv tizimlari
| APA | O'rinov, Nodirbek, Мамадалиев, Сарварбек, Бахрамова, Махлиёхон, Aлижонов , Шохислом, Неъматжонов , Aсадбек, & Aкбарова , Мадина (2025). Definition of informative features and formalization of the knowledge base for identification of the Stuxnet cyber attack on the Internet of Things system. Al-Farg'oniy avlodlari, (2), 80-86. https://al-fargoniy.uz/index.php/journal/article/view/840 |
|---|---|
| GOST (OAK) | O'rinov, Nodirbek va b. Definition of informative features and formalization of the knowledge base for identification of the Stuxnet cyber attack on the Internet of Things system // Al-Farg'oniy avlodlari. – 2025. – № 2. – P. 80-86. |
| MLA | O'rinov, Nodirbek, Мамадалиев, Сарварбек, Бахрамова, Махлиёхон, Aлижонов , Шохислом, Неъматжонов , Aсадбек, and Aкбарова , Мадина. “Definition of informative features and formalization of the knowledge base for identification of the Stuxnet cyber attack on the Internet of Things system.” Al-Farg'oniy avlodlari, (2), 80-86, 2025. https://al-fargoniy.uz/index.php/journal/article/view/840 |
| Chicago | O'rinov, Nodirbek, Мамадалиев, Сарварбек, Бахрамова, Махлиёхон, Aлижонов , Шохислом, Неъматжонов , Aсадбек, and Aкбарова , Мадина. “Definition of informative features and formalization of the knowledge base for identification of the Stuxnet cyber attack on the Internet of Things system.” Al-Farg'oniy avlodlari, (2), 80-86 (2025). https://al-fargoniy.uz/index.php/journal/article/view/840 |
| Harvard | O'rinov, Nodirbek, Мамадалиев, Сарварбек, Бахрамова, Махлиёхон, Aлижонов , Шохислом, Неъматжонов , Aсадбек, and Aкбарова , Мадина (2025) ‘Definition of informative features and formalization of the knowledge base for identification of the Stuxnet cyber attack on the Internet of Things system’, Al-Farg'oniy avlodlari, (2), 80-86. https://al-fargoniy.uz/index.php/journal/article/view/840 |
| BibTeX | @article{orinovnodirbek2025,
title = {Definition of informative features and formalization of the knowledge base for identification of the Stuxnet cyber attack on the Internet of Things system},
author = {O'rinov, Nodirbek and Мамадалиев, Сарварбек and Бахрамова, Махлиёхон and Aлижонов , Шохислом and Неъматжонов , Aсадбек and Aкбарова , Мадина},
journal = {Al-Farg'oniy avlodlari},
year = {2025},
number = {2},
pages = {80-86},
url = {https://al-fargoniy.uz/index.php/journal/article/view/840}
} |
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