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INTERNET NARSALAR TIZIMIGA KIBERHUJUMLARNI ANIQLASH VA BARTARAF ETISH MODELLARI HAMDA ALGORITMLARINI ISHLAB CHIQISH

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MAQOLA ANNOTATSIYASI

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Mazkur tadqiqot Internet narsalar (IoT) tizimlariga qaratilgan kiberhujumlarni aniqlash hamda bartaraf etish uchun yangi algoritm va modellarni ishlab chiqishga bag‘ishlangan. IoT qurilmalarining keng tarqalishi axborot xavfsizligiga jiddiy tahdid solmoqda, chunki ularning ko‘pchiligi resurs jihatdan cheklangan va zamonaviy xavfsizlik mexanizmlariga ega emas. Shu sababli maqolada IoT tizimlarida yuzaga keladigan asosiy xavf-xatarlar, hujum turlari (masalan, DoS, spoofing, sniffing) va ularni aniqlashda qo‘llanadigan usullar (aniqlovchi modellar, mashinaviy o‘rganish algoritmlari) yoritilgan. Xususan, an’anaviy statistik yondashuvlar bilan bir qatorda, sun’iy intellekt va chuqur o‘rganishga asoslangan algoritmlarning afzalliklari ko‘rsatib berilgan. Maqolada anomaliyalarni aniqlash, tarmoq trafigi tahlili va xavfni aniq vaqtda identifikatsiyalash uchun gibrid yondashuv taklif etilgan. Tadqiqot doirasida IoT qurilmalaridan 12 oy davomida yig‘ilgan 100 GB hajmdagi ma’lumotlar to‘plamidan foydalanildi. Taklif etilgan gibrid model sodda mashinali o‘rganish usullariga nisbatan 94,7 % aniqlik ko‘rsatkichi bilan 27 % yaxshilanishni ko‘rsatdi. Bundan tashqari, ushbu model false-positiv ko‘rsatkichlarni 35 %gacha kamaytirdi va real vaqt rejimida ishlov berish tezligini 2,3 barobar oshirdi. Tadqiqot natijalari IoT xavfsizligi sohasida muhim yutuq hisoblanadi va sanoat muhitida amaliy qo‘llash uchun yangi usullar taklif etadi.

MUALIFLAR

Teglar

# аномалия# anomaliya# IOT# Интернет вещей (IoT)# DDoS# Botnet hujumlari# man-in-the-middle# ботнет-атаки# атака посредника (man-in-the- mi# Botnet attacks

Maqolani baholang

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Maqola idintifikatorlari

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