Biometric Authentication and AI: Securing eCommerce Transactions Through Facial Recognition
DOI:
https://doi.org/10.63282/3050-9416.IJAIBDCMS-V3I2P105Keywords:
Biometric Authentication, Facial Recognition, Artificial Intelligence, eCommerce Security, Deep Learning, Liveness DetectionAbstract
The advancement of e-commerce has increased the need for robust, convenient, and flexible mechanisms for user authentication. Password-based and Two-Factor Authentication (2FA) remain standard in organizations today but have limitations that make them susceptible to various security threats, social engineering, and password theft. Specifically, this paper focuses on the facial recognition biometric approach to increase security in eCommerce transactions using AI. Applying AI, which has the possibility to analyze large amounts of data and distinguish between a real face and its imitation in real-time, FR systems are also effective in detecting spoofing, aging, and variations in lighting and other conditions. In this paper, information on biometric modalities will be discussed, facial recognition will be identified as a feasible solution, the structure of AI-amalgamated biometric systems will be reviewed, and their effectiveness will be assessed with regard to real-life applications. Depending on the above-mentioned factors, we have provided a comparative study of the conventional and biometric-based system, a literature review of different methodologies, implementation issues, and risks, including privacy issues. They outline an increase in authentication efficiency and a decrease in the number of fraudulent transactions due to the use of face recognition with AI. In the second and last section, the writers present the implications and limitations of the study area, and finally, they point out the direction of future research
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