GIBRID TARMOQ MUHITLARI UCHUN SUN’IY INTELLEKT ASOSIDAGI INTRUSION DETECTION FRAMEWORK
Keywords:
intrusion detection, sun’iy intellekt, mashinaviy o‘qitish, kiberxavfsizlik, gibrid tarmoq, IDS, deep learning, network security.Abstract
Raqamli texnologiyalar va tarmoq infratuzilmalarining rivojlanishi natijasida kiberhujumlar soni va murakkabligi ortib bormoqda. An’anaviy xavfsizlik tizimlari zamonaviy tahdidlarni aniqlashda yetarli samaradorlikka ega emasligi sababli sun’iy intellekt asosidagi intrusion detection tizimlariga ehtiyoj ortmoqda. Mazkur maqolada gibrid tarmoq muhitlari uchun sun’iy intellekt asosidagi intrusion detection framework modeli taklif etiladi. Tadqiqot davomida mashinaviy o‘qitish algoritmlari yordamida zararli trafiklarni aniqlash usullari tahlil qilinadi hamda Random Forest, Support Vector Machine va Deep Neural Network algoritmlarining samaradorligi o‘rganiladi.
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