Ushbu maqolada sun’iy intellekt (AI) va mashinaviy o‘rganish (Machine Learning, ML) texnologiyalariga asoslangan tarmoqlararo ekranlar (firewall)ning kiberxavfsizlikdagi o‘rni va ahamiyati ko‘rib chiqiladi. Maqolada an’anaviy tarmoqlararo ekranlar bilan solishtirilganda AI va ML asosidagi tizimlarning afzalliklari, real vaqt rejimida tahdidlarni aniqlash, moslashuvchanlik va oldindan ogohlantirish imkoniyatlari yoritiladi. Yangi avlod tarmoq himoya vositalarining arxitekturasi, ishlash prinsiplari hamda amaliy qo‘llanilish holatlari tahlil qilinadi.
Mazkur maqolada tarmoqlararo ekranlar (firewall) orqali tarmoq xavfsizligini ta'minlash, kiruvchi va chiquvchi trafikni nazorat qilish masalalari chuqur tahlil qilinadi. Zamonaviy yondashuvlar, jumladan, davlat asosida va kontekstga yo‘naltirilgan filtrlash, Deep Packet Inspection (DPI), Next-Generation Firewall (NGFW) texnologiyalarining afzalliklari va qo‘llanilishi yoritiladi. Shuningdek, amaliy yechimlar sifatida kiruvchi va chiquvchi trafikni tahlil qilish, siyosatlarni ishlab chiqish va real holatlarda firewall sozlamalari misollar bilan ko‘rsatiladi.
This study examines how inflation affects household consumption behavior across nine post-Soviet economies - Armenia, Belarus, Estonia, Lithuania, Latvia, Moldova, Russia, Ukraine, and Uzbekistan - from 2011 to 2021. Using panel data regression techniques, the research evaluates the impact of inflation and other macroeconomic factors such as gross domestic savings, credit to the private sector, consumer price index, and population growth on consumption expenditure. The analysis reveals significant heterogeneity across countries and highlights the mediating role of credit access and institutional strength. The findings offer valuable policy insights for enhancing financial resilience and managing inflationary impacts in transition economies.