Title: An efficient privacy solution for electronic health records in cloud computing

Authors: Mbarek Marwan; Fatima Sifou; Feda AlShahwan; Abdelkarim Ait Temghart

Addresses: LTI Laboratory, ENSA, Chouaib Doukkali University, El Jadida, 1166, Morocco ' LRIT Laboratory, Faculty of Science, Mohammed V University, Rabat, 1014, Morocco ' College of Technological Studies, Shuwaikh, 23167, Kuwait ' TIAD Laboratory, FST, Sultan Moulay Slimane University, Beni Mellal, 523, Morocco

Abstract: Cloud computing is generally seen as the most practical and efficient way to build and deploy electronic medical records (EMR) due to advantages such as scalability and cost savings. However, existing solutions are not mature enough to protect patient data. Besides, traditional security countermeasures should be tailored to achieve the right balance between performance and security. In this respect, we propose a highly secure framework to boost remote image processing. Concretely, we rely on the segmentation method to break up the secret image into small portions; thereby optimising the overall execution time. Additionally, we propose a novel access control based on users' trust and user-managed access (UMA). More interestingly, the trust-aware model can reduce the heavy computational overhead of authorisation decisions in comparison to other checking methods. The implementation results prove the accuracy of this approach to meet the stringent security standards and performance requirements.

Keywords: cloud computing; image processing; health records; security; K-means; OAuth; UMA; user-managed access; OpenID connect; trust-based access control.

DOI: 10.1504/IJHPSA.2020.113681

International Journal of High Performance Systems Architecture, 2020 Vol.9 No.4, pp.201 - 214

Received: 27 Aug 2019
Accepted: 12 Mar 2020

Published online: 18 Mar 2021 *

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