Year: 2025
Type: article
Abstract: Current digital identity systems face significant challenges in privacy, security, user control, and performance. This research proposes a novel blockchain-powered approach that integrates neural network technologies to address fundamental limitations of centralized identity management. By leveraging decentralized architecture and biometric authentication, we present a transformative solution to digital identity verification that enhances user privacy, security, and autonomy while mitigating systemic risks in both centralized and decentralized frameworks. Empirical evaluation demonstrates authentication accuracy of up to 97.20% and average login latency of 1.069 seconds, validating the system’s effectiveness and responsiveness on standard consumer hardware.
Source: Premier journal of science.
DOI: 10.70389/pjs.100142
Authors: Arvind Babu, Kozhikode Raghunathan Balasubramanian, Anisha Singh, Meenakshi Reena Sureshbabu, Yuvaraj Natarajan
Institution: Vellore Institute of Technology University
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4415768134