Yuzni tanish texnologiyalarining xavfsizlik tizimlarida qo‘llanilishi
Muhammadabdulla Usmonov
Qo‘qon universiteti talabasi
Keywords: Yuzni tanish, biometrik autentifikatsiya, xavfsizlik tizimi, sun’iy intellekt, maxfiylik, Deep Learning.
Abstract
Ushbu maqolada yuzni tanish texnologiyalarining xavfsizlik tizimlarida qo‘llanilish imkoniyatlari, afzalliklari va xavf omillari tahlil qilinadi. Sun’iy intellekt va mashinaviy o‘rganish algoritmlariga asoslangan biometrik tizimlar zamonaviy xavfsizlik infratuzilmasining ajralmas qismiga aylangan. Maqolada yuzni tanishning ishlash tamoyili, ma’lumotlarni himoya qilishda yuzaga keladigan muammolar hamda shaxsiy hayot daxlsizligi masalalari yoritilgan.
References
1. Taigman, Y., et al. DeepFace: Closing the Gap to Human-Level Performance in Face Verification. IEEE CVPR, 2014.
2. Schroff, F., et al. FaceNet: A Unified Embedding for Face Recognition and Clustering. Google Research, 2015.
3. Parkhi, O. M., et al. Deep Face Recognition. BMVC, 2015.
4. Zhao, W., et al. Face recognition: A literature survey. ACM Computing Surveys, 2003.
5. Li, S.Z., & Jain, A.K. Handbook of Face Recognition. Springer, 2011.
6. O‘zbekiston Respublikasi Axborot xavfsizligi konsepsiyasi, 2024-yil.
7. Goodfellow, I., et al. Deep Learning. MIT Press, 2016.
8. Jain, A.K., & Li, S. Biometric Authentication Systems: Principles and Challenges. IEEE Transactions on Pattern Analysis, 2011.
9. EU GDPR Regulation (2018) — Data Protection and Privacy in AI Systems.
10. Alipay Security Report (2023) — AI-driven Biometric Authentication Systems.
