Decentralized Digital Identity: A Blockchain and Neural Network Approach

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.