Design an attribute based health record protection algorithm for healthcare services in cloud environment

  • Azath MubarakaliEmail author
  • M. Ashwin
  • Dinesh Mavaluru
  • A. Dinesh Kumar


Nowadays, personal health records (PHR) has built as a platform for health care data trading. The realistic deployment of PHR in distributed computing infrastructure raises the protection and data security hazards that need to be addressed. However, there have been broad security concerns as personal health data. It could be raised for external servers and treated as unauthenticated cloud servers. The large amount of clients and data owners in the PHR framework who have possibly heavy computational and administration load on the elements in the framework; which will restrict the PHR information accessibility and usability. To find a better solution of above issues, Attribute-based Health Record Protection (AHRP) algorithm is introduced to offer information access control confidentiality, credibility, and secrecy. It is provision of access control to encrypt the information, and a privilege mode for authenticating a message without uncovering the personal information of the patient. Based on Experimental evaluations, proposed Attribute based Health Record Protection Algorithm reduces 0.364 ET (encryption time) in seconds, 0.188 DT (Decryption Time) in seconds for respective records compared than existing methodologies.


Privacy-preserving Cloud computing E-health reports and analysis Attribute-based health record protection algorithm Patient health record (PHR) 



The authors extend their appreciation to the Deanship of Scientific Research at King Khalid University for funding this work through General Research Project under grant number (G.R.P- 76-1440). I would like to thank King Khalid university for the necessary support to lead this paper, we thank our colleagues who sustained greatly assisted this research. We would also like to show our gratitude to for sharing their pearls of wisdom with us during this research, and we thank “anonymous” reviewers for their socalled insights.


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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  • Azath Mubarakali
    • 1
    Email author
  • M. Ashwin
    • 2
  • Dinesh Mavaluru
    • 3
  • A. Dinesh Kumar
    • 4
  1. 1.College of Computer Science, Department of CNEKing Khalid UniversityAbhaSaudi Arabia
  2. 2.Department of Computer Science and EngineeringKoneru Lakshmaiah Education FoundationAndra PrdeshIndia
  3. 3.College of Computing and InformaticsSaudi Electronic UniversityAbhaSaudi Arabia
  4. 4.Department of Computer Science and EngineeringKoneru Lakshmaiah Education FoundationAndra PrdeshIndia

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