Published December 23, 2025
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Deep learning usullari va ularning kriptotahlil masalalarida qo'llanilishi
Authors/Creators
- 1. Raqamli texnologiyalar va sun'iy intellektni rivojlantirish ilmiy-tadqiqot instituti doktoranti Toshkent Kimyo xalqaro universiteti Samarqand filiali
- 2. Mirzo Ulug'bek nomidagi O'zbekiston milliy universiteti
Description
Ushbu maqolada chuqur o'rganish (deep learning) texnikalarining zamonaviy kriptotahlil jarayonlarida qo'llanilish imkoniyatlari nazariy va eksperimental jihatdan tahlil qilingan. An'anaviy kriptoanaliz usullari kalit, ochiq matn va shifr matni o'rtasidagi murakkab chiziqsiz bog'lanishlarni aniqlashni talab qilgani sababli yuqori hisoblash murakkabligiga ega. Deep learning esa xom ma'lumotlar bilan bevosita ishlash, xususiyatlarni mustaqil ravishda ajrata olish va biaslarni avtomatik aniqlash kabi ustunliklari sababli kriptotizimlarning zaifliklarini topishda samarali vosita sifatida namoyon bo'lmoqda. Tadqiqotda oqimli shifrlar — RC4, uning takomillashtirilgan varianti RC4A, shuningdek Trivium va TRIAD algoritmlarining hosil qilgan keystreamlari "qora quti" modeli asosida chuqur neyron tarmoqlar orqali tahlil qilindi.
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References
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