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A secure healthcare data sharing scheme based on two-dimensional chaotic mapping and blockchain.

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This study introduces a secure healthcare data sharing method using two-dimensional chaotic mapping and blockchain technology. The proposed system enhances medical data privacy and security, preventing unauthorized access and tampering.

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Area of Science:

  • Computer Science
  • Information Security
  • Healthcare Informatics

Background:

  • Medical data sharing is vital for healthcare advancement but faces significant privacy and security challenges.
  • Centralized systems are vulnerable to unauthorized access, data tampering, and single points of failure.

Purpose of the Study:

  • To propose a novel healthcare data sharing scheme (2DCM-DS) enhancing data privacy and security.
  • To leverage two-dimensional chaotic mapping and blockchain for secure medical data exchange.

Main Methods:

  • Developed a new two-dimensional chaotic mapping with superior chaotic performance.
  • Designed a data encryption method using biometric audio information and chaotic mapping for verifiable data ownership.
  • Utilized blockchain technology and smart contracts to support the proposed data sharing scheme.

Main Results:

  • The 2DCM-DS effectively protects data security against specified attack models.
  • Experimental results validated the security and efficiency of the proposed scheme.
  • Demonstrated the system's potential for secure healthcare insurance data sharing.

Conclusions:

  • The 2DCM-DS offers a robust solution for secure and private medical data sharing.
  • The integration of chaotic mapping and blockchain addresses key vulnerabilities in traditional data sharing methods.
  • The scheme shows significant promise for real-world applications in the healthcare sector.