Access control management for e-Healthcare in cloud environment

Sun, Lin; Yong, Jianming; Soar, Jeffrey

doi:10.4108/sis.1.2.e3

Cited by 4 publications

(4 citation statements)

References 25 publications

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“…However, other features for confidentiality, privacy and provenance control are frequently available. All studies presented some authorization mechanism for health data integration through semantic web technologies [6,15,16,18,32,35,36,38,39,47,[50][51][52]57,60]. However, only a few have implemented additional features for authentication [16,18,36,38,51,57], confidentiality [16,18], privacy [16,18,39,47,52], and provenance [47].…”

Section: Access Controlmentioning

confidence: 99%

“…All studies presented some authorization mechanism for health data integration through semantic web technologies [6,15,16,18,32,35,36,38,39,47,[50][51][52]57,60]. However, only a few have implemented additional features for authentication [16,18,36,38,51,57], confidentiality [16,18], privacy [16,18,39,47,52], and provenance [47]. No studies in this category have addressed integrity and availability features.…”

Section: Access Controlmentioning

confidence: 99%

“…al. defined a Semantic based Access Control model (SAC) for e-Healthcare, which considers semantic relations among different entities in cloud computing environments, with the XACML standard to support description and management of distributed policies [57]. The SAC model extends role-based access control (RBAC) by considering the semantics of objects and associates permission with concepts instead of objects.…”

Section: Access Controlmentioning

confidence: 99%

“…Several studies share the same underlying technologies to deliver their solutions, including OWL/ontologies (all studies), SWRL [10,15,16,25,38,39,46,[50][51][52], RDF [17,18,32,37,47,59], SPARQL [17,37,59], XACML [15,38,39,51,57], Jena [25,36,37,46], Semantic APIs/Web Services [9,36,37], and Internet of Things (IoT) devices [3,18,59]. It demonstrates the flexibility of SW tools to allow the implementation of security mechanisms to protect sensitive data and still enable the interoperability and integration of such data.…”

Section: Costa Lima Et Al / Security Approaches For Electronic Health...mentioning

confidence: 99%

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Security approaches for electronic health data handling through the Semantic Web: A scoping review

Lima

Alves

Bernardi

et al. 2023

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Integration of health information systems are crucial to advance the effective delivery of healthcare for individuals and communities across organizational boundaries. Semantic Web technologies may be used to connect, correlate, and integrate heterogeneous datasets spread over the internet. However, when working with sensitive data, such as health data, security mechanisms are needed. A scoping review of the literature was undertaken to provide a broad view of security mechanisms applied to, or along with, Semantic Web technologies that could allow its use with health data. Searches were conducted in the most relevant databases for the scope of this work. The findings were classified according to the main objective and features presented by each solution. Twenty-six studies were included in the review. They introduced mechanisms that addressed several security attributes, such as authentication, authorization, integrity, availability, confidentiality, privacy, and provenance. These mechanisms support access control frameworks, semantic and functional interoperability infrastructures, and privacy compliance solutions. The findings suggest that the application and use of Semantic Web technologies is still growing, with the healthcare area being particularly interested. The main security mechanisms for Semantic Web technologies, the key security attributes and properties, and the main gaps in the literature were identified, helping to understand the technical needs to mitigate the risks of handling personal health information over the Semantic Web. Also, this research has shown that complex and robust solutions are available to successfully address several security properties and features, depending on the context that the electronic health data is being managed.

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