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Anonymized Distributed PHR Using Blockchain for Openness and Non-Repudiation Guarantee.

David Mendes1, Irene Pimenta Rodrigues1, César Fonseca1

  • 1Universidade de Évora, Évora, Portugal.

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|October 12, 2018
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Summary
This summary is machine-generated.

This study presents a blockchain solution for enhanced data privacy and cognitive security in Smart Ambient Assisted Living (SAAL). It ensures patient data integrity and prevents unauthorized profiling, safeguarding against cyberattacks on hospital information systems.

Keywords:
BlockchainData privacyHealthcare ProcessHome Based CareInteroperabilityIoT

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Area of Science:

  • Computer Science
  • Information Security
  • Healthcare Technology

Background:

  • Smart Ambient Assisted Living (SAAL) environments generate sensitive personal health information.
  • Existing Hospital Information Systems (HIS) are vulnerable to data breaches, tampering, and ransomware attacks.
  • Ensuring data privacy and cognitive security in healthcare is a critical challenge.

Purpose of the Study:

  • To propose a novel solution for data privacy and cognitive security in SAAL environments.
  • To leverage blockchain technology for guaranteed data protection.
  • To enhance the security and integrity of patient clinical data.

Main Methods:

  • Development of a blockchain-based model for data management in SAAL.
  • Implementation of data segmentation to control access to personal clinical and demographic information.
  • Utilizing blockchain's inherent properties for non-repudiation and ledger fidelity.

Main Results:

  • The proposed solution effectively segments personal data, preventing unauthorized profiling.
  • Blockchain integration ensures resistance to tampering and ransomware attacks on HIS.
  • Maintained ledger fidelity and non-repudiation of historical process information.
  • Enabled open access to data for research without compromising individual re-identification or group profiling.

Conclusions:

  • Blockchain technology offers a robust framework for securing sensitive data in SAAL.
  • The solution enhances cognitive security and patient data privacy.
  • This approach provides a foundation for secure, auditable, and research-friendly healthcare data management.