Improving the authentification mechanism based on neural networks in payment systems

ТАТУ хабарлари · 2025-yil

Annotatsiya

In the digital era, biometric authentication plays a crucial role in ensuring secure and seamless access to electronic services, particularly in payment systems where transaction security is paramount.Traditional authentication methods, such as passwords and PINs, have become increasingly vulnerable to cyber threats, necessitating the adoption of advanced biometric solutions.This study presents an improved authentication mechanism based on neural networks, specifically designed for face recognition in payment systems.The proposed approach integrates multiple deep learning models, including ResNet and Feature Pyramid Networks (FPN), to enhance accuracy and robustness.A novel two-factor authentication mechanism is introduced, incorporating emotion recognition to increase security against spoofing attacks.The system utilizes a lightweight neural network (LNN) optimized for real-time authentication, ensuring efficiency in practical implementations.Experimental results demonstrate a 95.7% face recognition accuracy and 88.9% emotion recognition accuracy, with an improved processing speed of 30 frames per second (FPS).The implementation of this mechanism in real-world payment systems shows significant potential for improving transaction security while maintaining user convenience.

Maqola ma’lumotlari
JurnalТАТУ хабарлари
NashriyotТошкент ахборот технологиялари университети
ISSN2010-9857, 2181-1083
Nashr sanasi2025-08-19
TilIngliz
Ilmiy sohaTexnika
DOI10.61663/252tuitmct11
Indeksga qo‘shilgan2026-09-02

DOI: 10.61663/252tuitmct11 · Maqolaning asl sahifasi

Ilmiy soha

Texnika

Iqtibos keltirish

APANoma’lum muallif (2025). IMPROVING THE AUTHENTIFICATION MECHANISM BASED ON NEURAL NETWORKS IN PAYMENT SYSTEMS. ТАТУ хабарлари. https://doi.org/10.61663/252tuitmct11
GOST (OAK)Noma’lum muallif IMPROVING THE AUTHENTIFICATION MECHANISM BASED ON NEURAL NETWORKS IN PAYMENT SYSTEMS // ТАТУ хабарлари. – 2025. – DOI: 10.61663/252tuitmct11.
MLANoma’lum muallif. “IMPROVING THE AUTHENTIFICATION MECHANISM BASED ON NEURAL NETWORKS IN PAYMENT SYSTEMS.” ТАТУ хабарлари, 2025. https://doi.org/10.61663/252tuitmct11
ChicagoNoma’lum muallif. “IMPROVING THE AUTHENTIFICATION MECHANISM BASED ON NEURAL NETWORKS IN PAYMENT SYSTEMS.” ТАТУ хабарлари (2025). https://doi.org/10.61663/252tuitmct11
HarvardNoma’lum muallif (2025) ‘IMPROVING THE AUTHENTIFICATION MECHANISM BASED ON NEURAL NETWORKS IN PAYMENT SYSTEMS’, ТАТУ хабарлари. https://doi.org/10.61663/252tuitmct11
BibTeX
@article{article2025,
  title = {IMPROVING THE AUTHENTIFICATION MECHANISM BASED ON NEURAL NETWORKS IN PAYMENT SYSTEMS},
  author = {Unknown},
  journal = {ТАТУ хабарлари},
  year = {2025},
  doi = {10.61663/252tuitmct11},
  url = {https://doi.org/10.61663/252tuitmct11}
}

Boshqa maqola uchun iqtibos tayyorlash

ТАТУ хабарлари jurnalidan boshqa maqolalar

ТАТУ хабарлари — barcha maqolalar · 2025-yil arxivi

Texnika sohasidagi boshqa maqolalar

Texnika sohasidagi OAK jurnallari