Managing security and privacy in ubiquitous eHealth information interchange

Oladimeji, Ebenezer A.; Chung, Lawrence; Jung, Hyo Taeg; Kim, Jaehyoun

doi:10.1145/1968613.1968645

“…Studies also raise privacy concerns when using healthcare data [23][24][25]. Research to date presents different approaches to tackle these concerns; for instance, a proposed framework for deriving security and privacy requirements [24]. Other solutions propose protocols to enable anonymous data exchange between stakeholders in cloud environments [25].…”

Section: Related Workmentioning

confidence: 99%

Effective Use of Personal Health Records to Support Emergency Services

Tirado

¹

,

Daga

²

,

Motta

³

2020

Lecture Notes in Computer Science

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Smart City systems capture and exchange information with the aim to improve public services. Particularly, healthcare data could help emergency services to plan resources and make life-saving decisions. However, the delivery of healthcare information to emergency bodies must be balanced against the concerns related to citizens' privacy. Besides, emergency services face challenges in interpreting this data; the heterogeneity of sources and a large amount of information available represent a significant barrier. In this paper, we focus on a case study involving the use of personal health records to support emergency services in the context of a fire building evacuation. We propose a methodology involving a knowledge engineering approach and a common-sense knowledge base to address the problem of deriving useful information from health records and, at the same time, preserve citizens' privacy. We perform extensive experiments involving a synthetic dataset of health records and a curated gold standard to demonstrate how our approach allows us to identify vulnerable people and interpret their particular needs while avoiding the disclosure of personal information.

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“…Other privacy engineering frameworks, including the model presented in NISTIR 8062 are also under consideration [28], [116]- [119].…”

Section: Security and Privacy Fabric Principlesmentioning

confidence: 99%

NIST Big Data Interoperability Framework:

Subgroup.¹

2019

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NIST Special Publication series 1500 is intended to capture external perspectives related to NIST standards, measurement, and testing-related efforts. These external perspectives can come from industry, academia, government, and others. These reports are intended to document external perspectives and do not represent official NIST positions. Certain commercial entities, equipment, or materials may be identified in this document to describe an experimental procedure or concept adequately. Such identification is not intended to imply recommendation or endorsement by NIST, nor is it intended to imply that the entities, materials, or equipment are necessarily the best available for the purpose. There may be references in this publication to other publications currently under development by NIST in accordance with its assigned statutory responsibilities. The information in this publication, including concepts and methodologies, may be used by federal agencies even before the completion of such companion publications. Thus, until each publication is completed, current requirements, guidelines, and procedures, where they exist, remain operative. For planning and transition purposes, federal agencies may wish to closely follow the development of these new publications by NIST. Organizations are encouraged to review all draft publications during public comment periods and provide feedback to NIST. All NIST publications are available at http://www.nist.gov/publication-portal.cfm.

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“…Other privacy engineering frameworks, including the model presented in NISTIR 8062 are also under consideration. [30], [101]- [104] Related principles include identity management frameworks such as proposed in the National Strategy for Trusted Identities in Cyberspace (NSTIC) [105] and considered in the NIST Cloud Computing Security Reference Architecture. [106] Aspects of identity management that contribute to a security and privacy fabric will be addressed in future versions of this document.…”

Section: Security and Privacy Fabric Principlesmentioning

confidence: 99%

NIST Big Data Interoperability Framework: volume 4, security and privacy, version 2

2018

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NIST Special Publication series 1500 is intended to capture external perspectives related to NIST standards, measurement, and testing-related efforts. These external perspectives can come from industry, academia, government, and others. These reports are intended to document external perspectives and do not represent official NIST positions. Certain commercial entities, equipment, or materials may be identified in this document to describe an experimental procedure or concept adequately. Such identification is not intended to imply recommendation or endorsement by NIST, nor is it intended to imply that the entities, materials, or equipment are necessarily the best available for the purpose. There may be references in this publication to other publications currently under development by NIST in accordance with its assigned statutory responsibilities. The information in this publication, including concepts and methodologies, may be used by federal agencies even before the completion of such companion publications. Thus, until each publication is completed, current requirements, guidelines, and procedures, where they exist, remain operative. For planning and transition purposes, federal agencies may wish to closely follow the development of these new publications by NIST. Organizations are encouraged to review all draft publications during public comment periods and provide feedback to NIST. All NIST publications are available at http://www.nist.gov/publication-portal.cfm.

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Managing security and privacy in ubiquitous eHealth information interchange

Cited by 30 publications

References 15 publications

Effective Use of Personal Health Records to Support Emergency Services

Effective Use of Personal Health Records to Support Emergency Services

NIST Big Data Interoperability Framework:

NIST Big Data Interoperability Framework: volume 4, security and privacy, version 2

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