YUZ TASVIRI ASOSIDA AUTENTIFIKATSIYA TIZIMLARIDA XAVFSIZLIK TAHDIDLARI VA ULARNI BARTARAF ETISH USULLARI
Keywords:
Kalit so‘zlar: Biometrik xavfsizlik, yuzni aniqlash, PAD (Presentation Attack Detection), Spoofing hujumlari, Deepfake, chuqur o‘rganish, Liveness detection.Abstract
Annotatsiya: Yuz tasviri asosidagi autentifikatsiya tizimlari (FRS) biometrik
identifikatsiyaning eng keng tarqalgan va qulay usuli sifatida o‘z o‘rniga ega. Biroq,
texnologiyalarning rivojlanishi bilan bir qatorda, ularga qarshi qaratilgan "taqdimot
hujumlari" (Presentation Attacks) ham murakkablashib bormoqda. Mazkur maqolada
FRS tizimlarining zaif tomonlari, xususan, 2D suratlar, video-takrorlash (replay) va
sun’iy intellekt yordamida yaratilgan Deepfake hujumlari tahlil qilinadi. Tadqiqot
doirasida tiriklikni aniqlash (Liveness Detection) algoritmlari, chuqur o‘rganish (Deep
Learning) modellari va multispektral tahlil usullarining xavfsizlikni ta’minlashdagi
o‘rni o‘rganiladi. Maqola yakunida kelajakdagi xavfsizlik arxitekturalari uchun Multi-
modal biometriya va Homomorphic Encryption texnologiyalarini joriy etish bo‘yicha
ilmiy takliflar keltirilgan.
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