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An Architecture for Managing Data Privacy in Healthcare with Blockchain.

Anubis Graciela de Moraes RossettoChristofer SegaValderi Reis Quietinho Leithardt
Published in: Sensors (Basel, Switzerland) (2022)
With the fast development of blockchain technology in the latest years, its application in scenarios that require privacy, such as health area, have become encouraged and widely discussed. This paper presents an architecture to ensure the privacy of health-related data, which are stored and shared within a blockchain network in a decentralized manner, through the use of encryption with the RSA, ECC, and AES algorithms. Evaluation tests were performed to verify the impact of cryptography on the proposed architecture in terms of computational effort, memory usage, and execution time. The results demonstrate an impact mainly on the execution time and on the increase in the computational effort for sending data to the blockchain, which is justifiable considering the privacy and security provided with the architecture and encryption.
Keyphrases
  • big data
  • health information
  • healthcare
  • machine learning
  • artificial intelligence
  • electronic health record
  • public health
  • social media
  • climate change
  • deep learning
  • mental health
  • working memory
  • room temperature