MASHINANI O‘QITISH USULLARIDAN FOYDALANGAN HOLDA ZARARLI DASTURLARNI ANIQLASH
Keywords:
Zararli dastur, Mashinali o‘qitish (ML) va xavfsizlikAbstract
Along with the development of modern information security, threats to
information security are also increasing. Traditional methods of detecting malware are becoming
ineffective in the face of increasingly sophisticated cyberattacks. Therefore, machine learning
(ML) methods are gaining importance in the process of detecting and preventing malware. This
article reviews the role and prospects of machine learning technologies in detecting malware.
References
Odiljonov B., Xudoyqulov Z. Mashinani o‘qitishdan foydalanib steganografik usullar orqali yashiringan ma’lumotlarni aniqlash metodlari.
Qodirov K. Mashinali o‘qitish va o‘rganish usullari.
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Published
2025-04-18
How to Cite
Qudratov U.I, & Abdullayeva N.R. (2025). MASHINANI O‘QITISH USULLARIDAN FOYDALANGAN HOLDA ZARARLI DASTURLARNI ANIQLASH. MANAGEMENT AND ECONOMICS SCIENTIFIC RESEARCH JOURNAL, 2(2), 277–278. Retrieved from https://journals.timeedu.uz/index.php/mesr/article/view/397
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