Big Data And AI Innovations In Biometric Authentication For Secure Digital Transactions

Abstract

Moreover, authentication schemes have also evolved to be multi-modal, such as combining fingerprint and power spectrum of handwriting or validating face and signature to give a better level of assurance to the biometric authentication. The big data paradigm enables storing and managing large data efficiently, and applying artificial intelligence models for these data adds a security layer to the overall system. It aims to enhance security through behavior and skill, and it enhances transaction efficiencies through the reduction of friction. Furthermore, both AI and Big Data technologies are mostly used in many digital biometric authentication processes, such as Behavioral Biometrics like Keystroke Dynamics, Mouse Dynamics, and Gait Analysis; Physiological Biometrics like Thermal imaging for FiO2 estimation; Speech Recognition; Facial Expression Technology; etc., are detailed. Big data and AI play very important roles in many areas. Biometric authentication is getting more attention for secure digital transactions while individuals and organizations tend to deploy big data and AI in the process of authentication systems to achieve secure and completely secured transactions. This paper deals with the importance of big data and AI innovations in biometric authentication for secure digital transactions. Big data and AI concepts have been effectively analyzed and reviewed in the area of biometric authentication and their importance has been effectively shown. Biometric identifiers are the preferred methods of user authentication, which have moved beyond fingerprints, iris, and facial scans.