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Multi-Factor Authentication for Secured Financial Transactions in Cloud Environment

D. Prabakaran1,*, Shyamala Ramachandran2

1 IFET College of Engineering, Villupuram, 605108, Tamilnadu, India
2 University College of Engineering-Tindivanam, Tindivanam, 604001, Tamilnadu, India

* Corresponding Author: D. Prabakaran. Email: email

Computers, Materials & Continua 2022, 70(1), 1781-1798. https://doi.org/10.32604/cmc.2022.019591

Abstract

The rise of the digital economy and the comfort of accessing by way of user mobile devices expedite human endeavors in financial transactions over the Virtual Private Network (VPN) backbone. This prominent application of VPN evades the hurdles involved in physical money exchange. The VPN acts as a gateway for the authorized user in accessing the banking server to provide mutual authentication between the user and the server. The security in the cloud authentication server remains vulnerable to the results of threat in JP Morgan Data breach in 2014, Capital One Data Breach in 2019, and many more cloud server attacks over and over again. These attacks necessitate the demand for a strong framework for authentication to secure from any class of threat. This research paper, propose a framework with a base of Elliptical Curve Cryptography (ECC) to perform secure financial transactions through Virtual Private Network (VPN) by implementing strong Multi-Factor Authentication (MFA) using authentication credentials and biometric identity. The research results prove that the proposed model is to be an ideal scheme for real-time implementation. The security analysis reports that the proposed model exhibits high level of security with a minimal response time of 12 s on an average of 1000 users.

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D. Prabakaran and S. Ramachandran, "Multi-factor authentication for secured financial transactions in cloud environment," Computers, Materials & Continua, vol. 70, no.1, pp. 1781–1798, 2022. https://doi.org/10.32604/cmc.2022.019591

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cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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