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BBAS: Un sistema de autenticación basado en blockchain para e-health con autenticación multifactor, control de acceso

Rabia Latif1, Bello Musa Yakubu2, Nor Shahida Mohd Jamail1

  • 1College of Computer and Information Sciences (CCIS), Prince Sultan University, Riyadh, Saudi Arabia.

Scientific reports
|February 15, 2026
PubMed
Resumen

Este estudio presenta BBAS, un sistema de autenticación para e-Health basado en blockchain. BBAS mejora la seguridad y la usabilidad con autenticación multifactor y criptografía resistente a la cuántica, ofreciendo una solución escalable para la atención médica digital.

Palabras clave:
verificación biométricaautenticación blockchaincontrol de acceso descentralizadoseguridad en e-healthIPFSautenticación multifactorcriptografía poscuánticacontrato inteligente

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Área de la Ciencia:

  • Informática de la Salud
  • Ciberseguridad
  • Tecnología Blockchain

Sus antecedentes:

  • La transformación de la atención médica digital requiere acceso seguro, escalable y privado a datos médicos sensibles.
  • Los sistemas de autenticación existentes enfrentan desafíos para satisfacer estas demandas cambiantes.

Objetivo del estudio:

  • Presentar BBAS, un novedoso sistema de autenticación basado en blockchain diseñado para aplicaciones de e-Health.
  • Mejorar la seguridad, escalabilidad y privacidad del acceso a los registros médicos electrónicos.

Principales métodos:

  • Se implementó un marco de autenticación multifactor (MFA) que incluye hash de contraseñas, contraseñas de un solo uso (OTP) y biometría.
  • Se utilizó un modelo híbrido de control de acceso (RBAC y ABAC) con firmas digitales poscuánticas (CRYSTALS-Dilithium).
  • Se aprovechó el Sistema de Archivos Interplanetario (IPFS) para el almacenamiento fuera de la cadena y contratos inteligentes de Solidity en una red Ethereum con permisos.

Principales resultados:

  • BBAS demostró un rendimiento superior en métricas clave: tasa de éxito de autenticación (ASR) del 98.6%, latencia de 0.05 s y rendimiento de 19,000 req/s.
  • Se lograron tasas de error biométrico significativamente reducidas (FAR: 0.5%, FRR: 1.2%, EER: 0.85%).
  • Superó a los modelos de referencia en seguridad, escalabilidad y usabilidad.

Conclusiones:

  • BBAS proporciona un marco de autenticación confiable, escalable y resistente a la cuántica para los sistemas modernos de e-Health.
  • El sistema aborda eficazmente los desafíos de asegurar la información médica sensible en un mundo digitalizado.
  • Se validó la seguridad y usabilidad mejoradas del sistema de autenticación propuesto basado en blockchain.