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

Prof N. Jeenath Laila, Dr G. Tamilpavai
10/28/2023
cs.CRcs.AI

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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.

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Cite this paper

@article{laila2023finbtech,
  title  = {FinBTech: Blockchain-Based Video and Voice Authentication System for Enhanced Security in Financial Transactions Utilizing FaceNet512 and Gaussian Mixture Models},
  author = {Prof N. Jeenath Laila and Dr G. Tamilpavai},
  year   = {2023},
  eprint = {2310.18668},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2310.18668v1}
}

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