Management and Economics Scientific Research Journal 2-том 2-сан (2025)

MASHINANI O‘QITISH USULLARIDAN FOYDALANGAN HOLDA ZARARLI DASTURLARNI ANIQLASH

Qudratov U.I, Abdullayeva N.R

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Аннотация

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

Метадайындар булагы: журналдын OAI-PMH архиви · Sindex толук текстти сактабайт, булакка шилтеме берет.

Цитата алуу

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  -