Leveraging AI And Big Data For Enhanced Security In Biometric Authentication: A Comprehensive Model For Digital Payments

Abstract

The paper offers an epitomized overview of the state-of-the-art frameworks, algorithms, and methods in the domain of biometric cryptography for mobile transactions. The rapid technological advancement has led to the popularity of various biometric systems. The association of these systems in different fields of digital life, such as banking, e-commerce, or m-commerce, cannot be overlooked. However, daily digital transactions have augmented the risk of breaches of security and privacy concerns, which have found their solution in biometric authentication[1] systems. These diverse applications encounter many challenges, including the trade-off between recognition accuracy and computational complexity, advanced fake attributes, privacy issues, and continuous efforts for enhanced estimation of entropy. To address these issues, many companies are leveraging oncoming technological paradigms like the Internet of Things, cloud computing, big data, and artificial intelligence. Among them, AI and big data have been researched the most by industry, since they can add significant value.