Semantic privacy-preserving framework for electronic health record linkage

Lü, Yang; Sinnott, Richard O.

doi:10.1016/j.tele.2017.06.007

Cited by 17 publications

(11 citation statements)

References 38 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%

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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Section: Access Controlmentioning

confidence: 99%

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

Lima

Alves

Bernardi

et al. 2023

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“…1) Privacy protection should be a default setting 2) The privacy should be embedded into the design 3) Full functionality plus full privacy protection 4) The entire lifecycle of data should be protected (data collection, storage, process, share, destroy) 5) Visibility and transparency are important 6) Individual's privacy is respectful 7) Proactive privacy protection instead of remedial action End to end privacy protection and data minimisation are examples that can be considered in the design of a health system [57].…”

Section: Privacy By Designmentioning

confidence: 99%

“…Privacy refers to the protection of information about an individual or a group; they can choose which information about themselves can be shared with others. The content and boundaries of what is private are different in different countries [57]. Privacy is a context-based concept.…”

Section: Privacy and Security Overlapmentioning

confidence: 99%

Privacy Enhancing Technologies (PETs) for connected vehicles in smart cities

Safa

Mitchell

Maple

et al. 2020

Trans Emerging Tel Tech

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Many Experts believe that the Internet of Things (IoT) is a new revolution in technology that has brought many benefits for our organisations, businesses, and industries. However, information security and privacy protection are important challenges particularly for smart vehicles in smart cities that have attracted the attention of experts in this domain. Privacy Enhancing Technologies (PETs) endeavor to mitigate the risk of privacy invasions, but the literature lacks a thorough review of the approaches and techniques that support individuals' privacy in the connection between smart vehicles and smart cities. This gap has stimulated us to conduct this research with the main goal of reviewing recent privacy-enhancing technologies, approaches, taxonomy, challenges, and solutions on the application of PETs for smart vehicles in smart cities. The significant aspect of this study originates from the inclusion of data-oriented and process-oriented privacy protection. This research also identifies limitations of existing PETs, complementary technologies, and potential research directions.

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“…In addition, the exchange of information over the Internet has become essential and needs to achieve access authorisation, particularly in healthcare applications. Extensible access control markup language (XACML) standards include both access control (authorisation) and data management based on XML in the different systems [25]. Effectively, XACML offers features for data access and authorisation for the users at the fine-grained level, which is the most flexible and effective [26,27,28].…”

Section: Overview Of Security and Privacy Techniques In Ehr Systemsmentioning

confidence: 99%

PAX: Using Pseudonymization and Anonymization to Protect Patients’ Identities and Data in the Healthcare System

Al-Zubaidie

Zhang

2019

IJERPH

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Electronic health record (EHR) systems are extremely useful for managing patients' data and are widely disseminated in the health sector. The main problem with these systems is how to maintain the privacy of sensitive patient information. Due to not fully protecting the records from unauthorised users, EHR systems fail to provide privacy for protected health information. Weak security measures also allow authorised users to exceed their specific privileges to access medical records. Thus, some of the systems are not a trustworthy source and are undesirable for patients and healthcare providers. Therefore, an authorisation system that provides privacy when accessing patients' data is required to address these security issues. Specifically, security and privacy precautions should be raised for specific categories of users, doctor advisors, physician researchers, emergency doctors, and patients' relatives. Presently, these users can break into the electronic systems and even violate patients' privacy because of the privileges granted to them or the inadequate security and privacy mechanisms of these systems. To address the security and privacy problems associated with specific users, we develop the Pseudonymization and Anonymization with the XACML (PAX) modular system, which depends on client and server applications. It provides a security solution to the privacy issues and the problem of safe-access decisions for patients' data in the EHR. The~results of theoretical and experimental security analysis prove that PAX provides security features in preserving the privacy of healthcare users and is safe against known attacks.

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Semantic privacy-preserving framework for electronic health record linkage

Abstract: The version in the Kent Academic Repository may differ from the final published version. Users are advised to check http://kar.kent.ac.uk for the status of the paper. Users should always cite the published version of record.

Cited by 17 publications

References 38 publications

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

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

Privacy Enhancing Technologies (PETs) for connected vehicles in smart cities

PAX: Using Pseudonymization and Anonymization to Protect Patients’ Identities and Data in the Healthcare System

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