KLASSIK SHIFRLASH ALGORITMLARINING XUSUSIYATLARINI NEYRON TARMOQ ORQALI O‘RGANISH
DOI:
https://doi.org/10.5281/zenodo.19555621Keywords:
klassik shifrlash algoritmlari; kriptografiya; kriptotahlil; sun’iy neyron tarmoqlari; mashinali o‘rganish; chuqur o‘rganish; shifrmatn; statistik xususiyatlar; monoalfavitli shifrlash; polialfavitli shifrlash; algoritmlarni tasniflash; axborot xavfsizligi; intellektual tahlil.Abstract
Mazkur tadqiqot ishida klassik shifrlash algoritmlarining asosiy xususiyatlarini sun’iy neyron tarmoqlar
yordamida o‘rganish va tahlil qilish masalalari ko‘rib chiqilgan. Tadqiqot jarayonida monoalfavitli va polialfavitli shifrlash
algoritmlariga xos bo‘lgan statistik, strukturaviy hamda lingvistik belgilar ajratib olinadi va ular asosida neyron tarmoq
modeli shakllantiriladi. Shifrmatnlar to‘plami asosida o‘qitilgan model orqali turli klassik shifrlash algoritmlarining farqlovchi
xususiyatlarini aniqlash imkoniyati baholanadi. Ish doirasida sun’iy neyron tarmoqlarning kriptografik ma’lumotlar bilan
ishlashdagi samaradorligi va aniqlik darajasi klassik kriptotahlil usullari bilan taqqoslanadi. Olingan natijalar klassik
shifrlash algoritmlarini avtomatik aniqlash, tasniflash hamda kriptotahlil jarayonlarini intellektuallashtirishda neyron
tarmoqlardan foydalanish imkoniyatlarini kengaytiradi.
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