Management and Economics Scientific Research Journal Ҷилди 2 № 2 (2025)

MASHINANI O‘QITISH USULLARIDAN FOYDALANGAN HOLDA ZARARLI DASTURLARNI ANIQLASH

Qudratov U.I, Abdullayeva N.R

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Аннотатсия

Along with the development of modern information security, threats toinformation security are also increasing. Traditional methods of detecting malware are becomingineffective in the face of increasingly sophisticated cyberattacks. Therefore, machine learning(ML) methods are gaining importance in the process of detecting and preventing malware. Thisarticle reviews the role and prospects of machine learning technologies in detecting malware.

Zararli dastur, Mashinali o‘qitish (ML) va xavfsizlik

Манбаи метамаълумот: бойгонии OAI-PMH-и маҷалла · Sindex матни пурраро нигоҳ намедорад, ба манбаъ пайванд медиҳад.

Иқтибос гирифтан

APA 7 
Qudratov U.I & Abdullayeva N.R (2025). MASHINANI O‘QITISH USULLARIDAN FOYDALANGAN HOLDA ZARARLI DASTURLARNI ANIQLASH. Management and Economics Scientific Research Journal, 2(2).
GOST R 7.0.5 
Qudratov U.I, Abdullayeva N.R MASHINANI O‘QITISH USULLARIDAN FOYDALANGAN HOLDA ZARARLI DASTURLARNI ANIQLASH // Management and Economics Scientific Research Journal. 2025. Т. 2. № 2.
BibTeX 
@article{u.i2025,
  author  = {Qudratov U.I and Abdullayeva N.R},
  title   = {MASHINANI O‘QITISH USULLARIDAN FOYDALANGAN HOLDA ZARARLI DASTURLARNI ANIQLASH},
  journal = {Management and Economics Scientific Research Journal},
  year    = {2025},
  volume  = {2},
  number  = {2}
}
RIS 
TY  - JOUR
AU  - Qudratov U.I
AU  - Abdullayeva N.R
TI  - MASHINANI O‘QITISH USULLARIDAN FOYDALANGAN HOLDA ZARARLI DASTURLARNI ANIQLASH
JO  - Management and Economics Scientific Research Journal
PY  - 2025
VL  - 2
IS  - 2
ER  -