This article analyzes the effectiveness of malware detection methods using artificial intelligence technologies. With the rapid development of modern information and communication technologies, the number of malicious programs posing threats to cybersecurity has been steadily increasing. Traditional antivirus systems mainly rely on signature-based detection methods, which are not always effective in identifying new or previously unknown malware. Therefore, the application of artificial intelligence and machine learning algorithms has become one of the most promising approaches for detecting malicious software.
| Mualliflar | muxtoriddinov, muhammadyusuf, Allanov , Orif, Sang-Hoon, Kim |
|---|---|
| Jurnal | Al-Farg'oniy avlodlari |
| Nashriyot | ТАТУ Фарғона филиали |
| ISSN | 2181-4252 |
| Nashr sanasi | 2026-03-26 |
| Son | 1 |
| Betlar | 316-321 |
| Til | Ingliz |
| Ilmiy soha | Texnika |
| Indeksga qo‘shilgan | 2026-08-26 |
artificial intelligence, cybersecurity, malware, machine learning, искусственный интеллект, кибербезопасность, вредоносные программы, машинное обучение, sun’iy intellekt, kiberxavfsizlik, zararli dasturlar, mashinali o‘rganish, zararli kodlarni aniqlash
| APA | muxtoriddinov, muhammadyusuf, Allanov , Orif, & Sang-Hoon, Kim (2026). EVALUATION OF MALWARE DETECTION METHODS USING ARTIFICIAL INTELLIGENCE. Al-Farg'oniy avlodlari, (1), 316-321. https://al-fargoniy.uz/index.php/journal/article/view/1087 |
|---|---|
| GOST (OAK) | muxtoriddinov, muhammadyusuf, Allanov , Orif, Sang-Hoon, Kim EVALUATION OF MALWARE DETECTION METHODS USING ARTIFICIAL INTELLIGENCE // Al-Farg'oniy avlodlari. – 2026. – № 1. – P. 316-321. |
| MLA | muxtoriddinov, muhammadyusuf, Allanov , Orif, and Sang-Hoon, Kim. “EVALUATION OF MALWARE DETECTION METHODS USING ARTIFICIAL INTELLIGENCE.” Al-Farg'oniy avlodlari, (1), 316-321, 2026. https://al-fargoniy.uz/index.php/journal/article/view/1087 |
| Chicago | muxtoriddinov, muhammadyusuf, Allanov , Orif, and Sang-Hoon, Kim. “EVALUATION OF MALWARE DETECTION METHODS USING ARTIFICIAL INTELLIGENCE.” Al-Farg'oniy avlodlari, (1), 316-321 (2026). https://al-fargoniy.uz/index.php/journal/article/view/1087 |
| Harvard | muxtoriddinov, muhammadyusuf, Allanov , Orif, and Sang-Hoon, Kim (2026) ‘EVALUATION OF MALWARE DETECTION METHODS USING ARTIFICIAL INTELLIGENCE’, Al-Farg'oniy avlodlari, (1), 316-321. https://al-fargoniy.uz/index.php/journal/article/view/1087 |
| BibTeX | @article{muxtoriddinovmuhammadyusuf2026,
title = {EVALUATION OF MALWARE DETECTION METHODS USING ARTIFICIAL INTELLIGENCE},
author = {muxtoriddinov, muhammadyusuf and Allanov , Orif and Sang-Hoon, Kim},
journal = {Al-Farg'oniy avlodlari},
year = {2026},
number = {1},
pages = {316-321},
url = {https://al-fargoniy.uz/index.php/journal/article/view/1087}
} |
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