DEEP LEARNING TEXNOLOGIYALARI VA ULARNING XAVFSIZLIKDAGI O‘RNI
Keywords:
Tahdidlarni aniqlash, AI, tarmoq xavfsizligi, zararli dasturlar, “qora quti” muammosi , deep learning.Abstract
Ushbu maqolada sun’iy intellektning ilg‘or yo‘nalishlaridan biri bo‘lgan Deep Learning texnologiyalarining kiberxavfsizlik sohasidagi roli yoritilgan. Bugungi kunda kibertahdidlar tobora murakkablashib borayotgan bir paytda, an’anaviy himoya vositalari ba’zida yetarli bo‘lmay qolmoqda. Deep Learning algoritmlari esa katta hajmdagi ma’lumotlar orqali tahdidlarni aniqlash, anomal xatti-harakatlarni kuzatish va avtomatik himoya choralari ko‘rishda samarali yechim sifatida maydonga chiqmoqda. Maqolada ushbu texnologiyaning ishlash prinsipi, amaliy qo‘llanilishi, afzalliklari va mavjud cheklovlari tahlil qilinadi. Shuningdek, Deep Learning asosida yaratilgan real tizimlar misolida bu yondashuvning kiberxavfsizlikni ta’minlashdagi istiqbollari ko‘rib chiqiladi.
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