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Geometric data perturbation-based personal health record transactions in cloud computing.

S Balasubramaniam1, V Kavitha1

  • 1Department of Computer Science Engineering, University College of Engineering, Anna University, Kanchipuram, Chennai, Tamil Nadu 631501, India.

Thescientificworldjournal
|March 14, 2015
PubMed
Summary
This summary is machine-generated.

This study introduces geometric data perturbation for securing personal health records in cloud computing, addressing key management challenges with traditional encryption methods for enhanced data privacy.

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Area of Science:

  • Health Informatics
  • Cloud Computing Security
  • Data Privacy

Background:

  • Cloud computing offers scalable IT services but raises security concerns for sensitive data like personal health records.
  • Personal health records, managed in a patient-centric model, are often stored by third-party cloud providers.
  • Conventional encryption techniques for personal health records in the cloud face significant key management challenges.

Purpose of the Study:

  • To propose a novel method for managing personal health record transactions in cloud computing.
  • To address the unsolved key management issues inherent in cryptographic-based encryption for personal health records.
  • To enhance the security and privacy of personal health data stored in cloud environments.

Main Methods:

  • Implementing geometric data perturbation to secure the personal health record database.
  • Outsourcing the perturbed personal health record database to the Amazon EC2 cloud platform.
  • Utilizing geometric data perturbation as an alternative to conventional cryptographic encryption techniques.

Main Results:

  • Demonstrated a method for managing personal health record transactions using geometric data perturbation.
  • Successfully outsourced a perturbed personal health record database to the Amazon EC2 cloud.
  • Addressed key management issues associated with traditional encryption in cloud-based personal health records.

Conclusions:

  • Geometric data perturbation offers a viable solution for securing personal health records in cloud computing.
  • The proposed scheme effectively manages personal health record transactions while mitigating key management complexities.
  • This approach enhances the privacy and security of patient data outsourced to cloud environments.