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Efficient and Secure Attribute Based Access Control Architecture for Smart Healthcare.

Saurabh Rana1, Dheerendra Mishra2

  • 1The LNM Institute of Information Technology, Jaipur, India.

Journal of Medical Systems
|April 1, 2020
PubMed
Summary

This study introduces a secure smart health system using ciphertext attribute-based encryption (CP-ABE) to protect patient data. The novel scheme enhances security and efficiency, addressing vulnerabilities in previous models.

Keywords:
Ciphertext attribute-based encryptionMedical data storagePrivacySecuritySmart healthcare

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Area of Science:

  • Health Informatics
  • Cybersecurity
  • Cryptography

Background:

  • Smart health systems offer significant improvements in healthcare quality but face data security and privacy challenges due to transmission over public channels.
  • Ciphertext attribute-based encryption (CP-ABE) is a potential solution for securing encrypted data, but existing schemes have limitations such as cleartext access policies and small attribute universes.
  • Outsider adversaries pose a threat to CP-ABE models, necessitating robust access control mechanisms for medical services.

Purpose of the Study:

  • To propose an efficient and secure scheme that overcomes the security and privacy risks associated with current smart health systems.
  • To address the identified vulnerabilities in existing CP-ABE schemes, specifically those highlighted in Zhang et al.'s work.
  • To ensure the confidentiality and integrity of sensitive medical data within smart health environments.

Main Methods:

  • Development of a novel CP-ABE scheme designed for smart health applications.
  • Implementation of hidden access policies to enhance data privacy and security.
  • Security analysis and proof of the proposed scheme under the standard model.
  • Performance comparison with existing state-of-the-art schemes.

Main Results:

  • The proposed scheme effectively overcomes the security flaws of previous CP-ABE models, including cleartext policies and susceptibility to man-in-the-middle attacks.
  • The protocol ensures that attribute values of medical users are satisfied while maintaining hidden access policies.
  • Security analysis confirms the protocol's robustness under the standard model.
  • Performance analysis demonstrates that the proposed scheme is more efficient than existing solutions.

Conclusions:

  • The developed scheme provides an efficient and secure solution for smart health systems, enhancing data protection and privacy.
  • The hidden access policy feature significantly improves security by preventing policy disclosure.
  • The proposed approach offers a practical and secure advancement for attribute-based encryption in healthcare applications.