Diseño de un modulo para la autenticación usando datos biometricos en un entorno descentralizado

Abstract

Context: Traditional username and password-based authentication systems are insecure and prone to unauthorized access, especially when users reuse passwords across accounts. While biometric authentication offers a more secure alternative, it introduces risks if biometric data is stolen, requiring stronger security measures. Objective: The research aims to design an authentication system that integrates blockchain technology, biometric authentication, and distributed storage to address the security flaws of traditional methods and mitigate the risks of credential compromise. Method: The study developed a facial recognition-based biometric authentication system, using a React interface and OpenCV for face detection. The system integrates blockchain via Ganache, with smart contracts managed through Truffle, and connects to IPFS and MongoDB for distributed storage. The model was tested for efficiency, authentication and accuracy. Results: The integrated system showed promising results in efficiency, authentication rates, and resistance to identity theft, highlighting its potential to enhance security in access systems. Conclusion: Despite some challenges, the project provides a strong foundation for future enhancements, demonstrating the effectiveness of combining blockchain, biometric authentication, and distributed storage to improve access security.