EXPLAINABLE AI YORDAMIDA SOC UCHUN TUSHUNTIRILADIGAN KIBERXAVF ANIQLASH TIZIMINI ISHLAB CHIQISH
DOI:
https://doi.org/10.5281/zenodo.18950570Keywords:
kiberxavfsizlik, Explainable AI, XAI, SOC, kiberhujumlarni aniqlash, mashinaviy o‘rganish, tarmoq trafigi tahlili, SHAP, LIME.Abstract
So‘nggi yillarda kiberxavfsizlik sohasida sun’iy intellekt va mashinaviy o‘rganish texnologiyalaridan
foydalanish sezilarli darajada kengayib bormoqda. Biroq ko‘plab algoritmlar “qora quti” tamoyiliga asoslanganligi sababli,
ularning qaror qabul qilish jarayonini izohlash murakkab bo‘lishi mumkin. Bu holat xavfsizlik operatsiyalari markazlari
(Security Operations Center – SOC) faoliyatida muhim ahamiyat kasb etadi, chunki xavfsizlik mutaxassislari aniqlangan
tahdidlarning sabablarini ham tushunishi zarur. Mazkur tadqiqotda Explainable Artificial Intelligence (XAI) yondashuvi
asosida tushuntiriladigan kiberxavf aniqlash tizimi modeli taklif etiladi. Tizim mashinaviy o‘rganish algoritmlaridan
foydalangan holda tarmoq trafigini tahlil qiladi hamda aniqlangan tahdidlar uchun SHAP yoki LIME kabi tushuntirish
mexanizmlarini qo‘llaydi. Natijada SOC mutaxassislari hujumlarning kelib chiqish sabablari va ta’sir etuvchi omillarni
tezkor aniqlash imkoniyatiga ega bo‘ladi. Tadqiqot natijalari Explainable AI texnologiyalari kiberxavfsizlik tizimlarining
ishonchliligi, shaffofligi va samaradorligini oshirishda muhim rol o‘ynashini ko‘rsatadi.
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