FinBTech: Blockchain-Based Video and Voice Authentication System for Enhanced Security in Financial Transactions Utilizing FaceNet512 and Gaussian Mixture Models

TL;DR

This paper presents a blockchain-based biometric authentication system combining FaceNet512 and Gaussian Mixture Models to enhance security in financial transactions, ensuring reliable and tamper-proof verification.

Contribution

It introduces a novel multi-factor biometric authentication system integrating blockchain, FaceNet512, and GMM for secure financial transactions, surpassing existing methods.

Findings

Enhanced security against identity theft and unauthorized access.

Robust multi-factor biometric verification.

Blockchain ensures transparency and immutability.

Abstract

In the digital age, it is crucial to make sure that financial transactions are as secure and reliable as possible. This abstract offers a ground-breaking method that combines smart contracts, blockchain technology, FaceNet512 for improved face recognition, and Gaussian Mixture Models (GMM) for speech authentication to create a system for video and audio verification that is unmatched. Smart contracts and the immutable ledger of the blockchain are combined to offer a safe and open environment for financial transactions. FaceNet512 and GMM offer multi-factor biometric authentication simultaneously, enhancing security to new heights. By combining cutting-edge technology, this system offers a strong defense against identity theft and illegal access, establishing a new benchmark for safe financial transactions.