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Secured and Privacy-Preserving Multi-Authority Access Control System for Cloud-Based Healthcare Data Sharing.

Reetu Gupta1, Priyesh Kanungo1, Nirmal Dagdee2

  • 1School of Computer Science and Information Technology, Devi Ahilya Vishwavidyalaya, Indore 452001, India.

Sensors (Basel, Switzerland)
|March 11, 2023
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Summary
This summary is machine-generated.

This study introduces SP-MAACS, a secure system for multi-authority attribute-based encryption, enhancing privacy in cloud-based healthcare data sharing for both internal and external users.

Keywords:
access controlattribute-based encryptioncloud storageelectronic health recordsmultiple authoritiesprivacy preservation

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Area of Science:

  • Computer Science
  • Information Security
  • Cloud Computing

Background:

  • Cloud computing facilitates data sharing, often requiring encrypted data outsourcing.
  • Access control on encrypted data is crucial for secure sharing, especially in inter-domain applications like healthcare.
  • Multi-authority attribute-based encryption (MA-ABE) offers a robust solution for granular access control in complex data-sharing environments.

Purpose of the Study:

  • To propose the SP-MAACS scheme for secure and privacy-preserving multi-authority access control in cloud-based healthcare data sharing.
  • To accommodate both open-domain (external) and closed-domain (internal) users with flexible data sharing.
  • To ensure policy privacy by concealing attribute values while revealing attribute names.

Main Methods:

  • Development of the SP-MAACS scheme, a novel multi-authority access control system.
  • Integration of attribute-based encryption techniques to manage access rights.
  • Consideration of both open and closed user domains within a unified framework.
  • Ensuring policy privacy through selective attribute disclosure.

Main Results:

  • The SP-MAACS scheme provides secure and privacy-preserving access control for cloud-based healthcare data.
  • It supports both open and closed domain users, offering flexibility in data sharing.
  • Policy privacy is maintained by hiding attribute values, enhancing user confidentiality.
  • Comparative analysis demonstrates superior features including multi-authority support, flexible policies, privacy, and scalability.

Conclusions:

  • The SP-MAACS scheme effectively addresses the challenges of secure and private data sharing in cloud environments, particularly for healthcare.
  • It offers a scalable and flexible solution with reasonable decryption costs and adaptive security.
  • The scheme enhances data security and user privacy through advanced attribute-based encryption techniques.