A Blockchain-Based Anti-Counterfeiting Identity Authentication Method Using Multimodal Biometric Recognition

Abstract

This study systematically designs the system architecture and conducts comprehensive performance evaluations. Experimental results demonstrate that the proposed method achieves superior performance in security, reliability, and operational efficiency. The experimental findings indicate that the proposed approach maintains high recognition accuracy and processing speed across diverse authentication scenarios. Moreover, even under simulated attack conditions, the system continues to provide stable, reliable authentication services, highlighting its robustness to potential security threats. The outcomes of this research provide an innovative identity authentication solution for the digital finance sector, offering both significant theoretical contributions and practical application value. As digital financial ecosystems continue to diversify and cybersecurity threats become increasingly sophisticated, future research may further explore more advanced multimodal biometric fusion techniques and investigate the applicability of this framework to broader domains, such as e-commerce, digital identity management, and cybersecurity infrastructures. These research directions not only address current security challenges but also lay a solid foundation for the sustainable development of the future digital economy.