BIOMETRIK XAVFSIZLIKDA DEEPFAKE TAHDIDLARI. SUN'IY INTELLEKT ASOSIDAGI ANIQLASH VA HIMOYA TEXNOLOGIYALARI

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Published: 2026-09-25
DOI: https://doi.org/10.5281/zenodo.23324029
Keywords:
sun'iy intellekt, biometrik xavfsizlik, deepfake, jonlilik testi (liveness detection), raqamli shaxs, autentifikatsiya, ma'lumotlar maxfiyligi

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Mamaraimov Abror Kamalidin o‘g‘li
O‘zbekiston Milliy universiteti Jizzax filiali, Axborot tizimlari va texnologiyasi kafedrasi o‘qituvchisi
Mixliyeva Ulug‘oy Rabbim qizi
O‘zbekiston Milliy universiteti Jizzax filiali, Axborot tizimlari va texnologiyasi kafedrasi o‘qituvchisi
Adirboyeva Shahnoza Amir qizi
O‘zbekiston Milliy universiteti Jizzax filiali talabasi
Abduramonova Aziza Akram qizi
O‘zbekiston Milliy universiteti Jizzax filiali talabasi

Abstract

Ushbu maqolada sun'iy intellekt texnologiyalarining biometrik xavfsizlik tizimlariga ta'siri, xususan, generativ sun'iy intellekt asosida yaratilgan deepfake tahdidlari va ularga qarshi qo'llanilayotgan zamonaviy himoya mexanizmlari tahlil qilinadi. Maqolada "jonlilik testi" (liveness detection)ning faol va passiv turlari, ko'p qatlamli (multi-modal) biometrik tizimlar, maxfiylikni saqlovchi "bilim-nol" (zero-knowledge) tekshiruv usullari, shuningdek sohani xalqaro miqyosda tartibga solish tendentsiyalari ko'rib chiqiladi

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Article Details

Issue

Vol. 1 No. 1 (2026): Kompyuter ilmlari va muhandislik texnologiyalari. Xalqaro ilmiy-texnik anjuman 2-qism

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Articles
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

How to Cite

Mamaraimov, A. K. o‘g‘li, Mixliyeva, U. R. qizi, Adirboyeva, S. A. qizi, & Abduramonova, A. A. qizi. (2026). BIOMETRIK XAVFSIZLIKDA DEEPFAKE TAHDIDLARI. SUN’IY INTELLEKT ASOSIDAGI ANIQLASH VA HIMOYA TEXNOLOGIYALARI. Konferensiyalar, 1(1), 113-115. https://doi.org/10.5281/zenodo.23324029

References

ISO/IEC 30107-1:2023. Information technology — Biometric presentation attack detection — Part 1: Framework. International Organization for Standardization, 2023.

Ngan, M. L., Grother, P., Hom, A. Face Analysis Technology Evaluation (FATE) Part 10: Performance of Passive, Software-based Presentation Attack Detection (PAD) Algorithms. NISTIR 8491, National Institute of Standards and Technology, 2023.

Kotalwar, A., Joshi, R. R. Adaptive multimodal liveness detection framework for biometric authentication against spoofing and deepfake attacks. Discover Artificial Intelligence, 2026.

OLOID. Liveness Detection Guide: Protecting Digital Identity 2026. 2026. Ushbu manba liveness detection, deepfake, foto, video va boshqa spoofing hujumlaridan himoyalanish masalalarini yoritadi.

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