Abstract
<p>Cloud Computing has attracted interest as an efficient system for storing and access of data. Sharing of personal electronic health record is an arising concept of exchanging health information for research and other purposes. Cconfidentiality except for authorized users, and access auditability are strong security requirements for health record. This study will examine these requirements and propose a framework for healthcare cloud providers that will assist in securely storing and sharing of patient’ data they host. It should also allow only legitimate users to access portion of the records' data they are permitted to. The focus will be on these precise security issues of cloud computing healthcare and how attribute-based encryption can assist in addressing healthcare regulatory requirements. The proposed attribute-based encryption guarantees authentication, data confidentiality, availability, and integrity in a multi-level hierarchical order. This will allow the healthcare provider to easily add/delete any access rule in any order, which is considered beneficial particularly in medical research field.</p>
Highlights
Cloud Computing is an arising technology which revolutionize the use of computing resources
There is a high demand on establishing a framework that minimizes time-consuming work and expensive procedures to retrieve a patient's medical record and integrating this varying set of medical data consistently to deliver it to the healthcare industry
The rest of this paper is organized as follows: in Section 2, we introduce the concept of cloud computing
Summary
Cloud Computing is an arising technology which revolutionize the use of computing resources. A medical record has some components that are classified by both individuals and organizations, such as HIPAA of U.S Department of Health and Human Services (2005) and HITECH (Health Information Technology, 2009), as highly critical and should be disclosed only to the entities that have an explicit access right to them. This is because revealing such data can lead to unjustly show bias against an individual or refuse them chances that they otherwise entitled to.
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