Artificial intelligence based secured third party authentication using blockchain in virtual private network

Abstract

The evolution of the digital era and the rise of cloud computing have attracted most IT applications to migrate from physical infrastructure-based applications to cloud-based applications. Cloud computing has become an inevitable paradigm, offers uninterrupted service to the users, and possesses a most desirable feature of access from anywhere and from any device. The most common cloud-based application is the execution of third-party financial transactions over the Virtual Private Network (VPN). Online financial transactions contribute to the Gross Domestic Product (GDP) by about 7.7%. The major challenge of financial transactions through the virtual private network is its security concern, as it has often been proven vulnerable to security attacks by hackers. Numerous security breaches have been reported worldwide, motivating the research on introducing a secure channel for performing transactions in the virtual private network. newlineThe research work was initiated by introducing a Multi-Factor Authentication (MFA) framework encompassing multiple credentials like low entropy passwords and features extracted from the authenticated userand#8223;s voice print and fingerprint. The authentication credentials were encrypted and decrypted using Elliptical Curve Cryptography (ECC) and achieved a high level of security than the existing frameworks for third-party financial transactions. The key generated from the user voice print employs the enhanced Mel Frequency Cepstrum Coefficient (e-MFCC) technique, which is a significant robustness factor in the proposed research work. newline newline