KIBERXAVFSIZLIKDA SUN’IY INTELLEKT ASOSIDA TAHDIDLARNI ANIQLASH ALGORITMLARI
Keywords:
Kiberxavfsizlik, Sun’iy intellekt, Tahdidlarni aniqlash, Mashina o‘rganish, Chuqur o‘rganish, Anomaliya aniqlash, Neyron tarmoqlar, XGBoost, Gibrid algoritmlar, Tarmoq xavfsizligi.Abstract
Ushbu maqolada kiberxavfsizlik sohasida sun’iy intellekt asosida tahdidlarni aniqlash algoritmlari batafsil tahlil qilinadi. Zamonaviy axborot tizimlarida kiberhujumlar tobora murakkablashib borayotganligi sababli, an’anaviy xavfsizlik vositalari yetarli samaradorlik ko‘rsata olmayapti. Shu bois, maqolada mashina o‘rganish va chuqur o‘rganish yondashuvlari asosida tahdidlarni aniqlash usullari ko‘rib chiqilgan. Tarmoqdagi anomaliyalarni aniqlash, zararli dasturiy ta’minot va kiberhujumlarni ilgari surish imkonini beruvchi sun’iy intellekt algoritmlarining afzalliklari va kamchiliklari tahlil qilingan
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