TARMOQ TRAFIGIDAGI ANOMALIYALARNI ANIQLASH VA KIBERHUJUMLARNING OLDINI OLISH
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Abstract
Mazkur tezisda sun’iy intellekt va mashinaviy o‘qitish algoritmlari yordamida kompyuter tarmoqlaridagi anomal faoliyatni aniqlash va zamonaviy kiberhujumlarning oldini olish masalalari ko‘rib chiqilgan. Zararli trafikni an’anaviy signatura asosidagi tizimlardan farqli ravishda real vaqt rejimida aniqlashga imkon beruvchi neyron tarmoqlar, tasodifiy o‘rmon (Random Forest) va chuqur o‘rganish (Deep Learning) modellarining afzalliklari tahlil qilingan. Tadqiqot natijalari sun’iy intellektga asoslangan yondashuvlarning aniqlik darajasini oshirishda samarali ekanligini ko‘rsatadi.
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