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Attribute encryption access control method of high dimensional medical data based on fuzzy algorithm.

Yonggang Huang1, Teng Teng1, Yuanyuan Li1

  • 1Information Management, The First Affiliated Hospital of Hebei North University, Zhangjiakou, China.

Plos One
|March 27, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a novel fuzzy encryption method for high-dimensional medical data access control, enhancing patient privacy. The approach ensures secure data handling and improves resistance to attacks, outperforming existing methods.

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Area of Science:

  • Medical Informatics
  • Cryptography
  • Data Security

Background:

  • Current blockchain-based data access control methods face challenges with high-dimensional medical data due to privacy concerns and sensitive information exposure risks.
  • The transparency of blockchain technology conflicts with the stringent privacy requirements of medical data.

Purpose of the Study:

  • To propose a high-dimensional medical data attribute encryption access control method using a fuzzy algorithm to enhance patient privacy.
  • To address the limitations of existing blockchain-based systems in securing sensitive medical information.

Main Methods:

  • Utilized a fuzzy encryption algorithm to prevent unauthorized access and decryption of sensitive medical data.
  • Employed phase and frequency data with empirical mode decomposition to assess attribute stability and reduce noise.
  • Implemented key configuration for encryption/decryption of data attributes at different security levels and calculated trust degrees for access behavior.

Main Results:

  • The proposed method achieved encryption access control times under 60ms, even with millions of data attributes.
  • Demonstrated a reduction in maximum encryption time by 21ms.
  • Showcased a high anti-attack success rate, with an 8.5% increase in attack resistance compared to other methods.

Conclusions:

  • The fuzzy encryption-based method effectively enhances patient privacy and security for high-dimensional medical data access control.
  • The system provides efficient and robust protection against unauthorized access and cyberattacks.
  • This approach offers a promising solution for secure medical data management in the era of big data.