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Ontology-based Obfuscation and Anonymisation for Privacy: A Case Study on Healthcare
Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), Institutionen för matematik och datavetenskap. (Privacy and Security)ORCID-id: 0000-0001-9005-0543
Trento University, Italy. (Department of Information Engineering and Computer Science)
Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), Institutionen för matematik och datavetenskap. (Privacy and Security)ORCID-id: 0000-0002-9980-3473
Trento University, Italy. (Department of Information Engineering and Computer Science)
Vise andre og tillknytning
2016 (engelsk)Inngår i: Privacy and Identity Management: Time for a Revolution? / [ed] David Aspinal, Marit Hansen, Jan Camenisch, Simone Fischer-Hübner, Charles Raab, Springer, 2016, s. 343-358Konferansepaper, Publicerat paper (Fagfellevurdert)
sted, utgiver, år, opplag, sider
Springer, 2016. s. 343-358
Serie
IFIP Advances in Information and Communication Technology, ISSN 1868-4238
HSV kategori
Identifikatorer
URN: urn:nbn:se:kau:diva-43014DOI: 10.1007/978-3-319-41763-9ISBN: 9783319417639 (digital)OAI: oai:DiVA.org:kau-43014DiVA, id: diva2:937525
Konferanse
10th IFIP WG 9.2, 9.5, 9.6/11.7, 11.4, 11.6/SIG 9.2.2 International Summer School
Tilgjengelig fra: 2016-06-15 Laget: 2016-06-15 Sist oppdatert: 2018-11-27bibliografisk kontrollert
Inngår i avhandling
1. Secure and Privacy-aware Data Collection and Processing in Mobile Health Systems
Åpne denne publikasjonen i ny fane eller vindu >>Secure and Privacy-aware Data Collection and Processing in Mobile Health Systems
2016 (engelsk)Licentiatavhandling, med artikler (Annet vitenskapelig)
Abstract [en]

Healthcare systems have assimilated information and communication technologies in order to improve the quality of healthcare and patient's experience at reduced costs. The increasing digitalization of people's health information raises however new threats regarding information security and privacy. Accidental or deliberate data breaches of health data may lead to societal pressures, embarrassment and discrimination. Information security and privacy are paramount to achieve high quality healthcare services, and further, to not harm individuals when providing care. With that in mind, we give special attention to the category of Mobile Health (mHealth) systems. That is, the use of mobile devices (e.g., mobile phones, sensors, PDAs) to support medical and public health. Such systems, have been particularly successful in developing countries, taking advantage of the flourishing mobile market and the need to expand the coverage of primary healthcare programs. Many mHealth initiatives, however, fail to address security and privacy issues. This, coupled with the lack of specific legislation for privacy and data protection in these countries, increases the risk of harm to individuals. The overall objective of this thesis is to enhance knowledge regarding the design of security and privacy technologies for mHealth systems. In particular, we deal with mHealth Data Collection Systems (MDCSs), which consists of mobile devices for collecting and reporting health-related data, replacing paper-based approaches for health surveys and surveillance. This thesis consists of publications contributing to mHealth security and privacy in various ways: with a comprehensive literature review about mHealth in Brazil; with the design of a security framework for MDCSs (SecourHealth); with the design of a MDCS (GeoHealth); with the design of Privacy Impact Assessment template for MDCSs; and with the study of ontology-based obfuscation and anonymisation functions for health data.

Abstract [en]

Information security and privacy are paramount to achieve high quality healthcare services, and further, to not harm individuals when providing care. With that in mind, we give special attention to the category of Mobile Health (mHealth) systems. That is, the use of mobile devices (e.g., mobile phones, sensors, PDAs) to support medical and public health. Such systems, have been particularly successful in developing countries, taking advantage of the flourishing mobile market and the need to expand the coverage of primary healthcare programs. Many mHealth initiatives, however, fail to address security and privacy issues. This, coupled with the lack of specific legislation for privacy and data protection in these countries, increases the risk of harm to individuals. The overall objective of this thesis is to enhance knowledge regarding the design of security and privacy technologies for mHealth systems. In particular, we deal with mHealth Data Collection Systems (MDCSs), which consists of mobile devices for collecting and reporting health-related data, replacing paper-based approaches for health surveys and surveillance.

sted, utgiver, år, opplag, sider
Karlstad: Karlstads universitet, 2016. s. 28
Serie
Karlstad University Studies, ISSN 1403-8099 ; 2016:47
Emneord
Mobile health, information security, data privacy, data collection, personal health data
HSV kategori
Forskningsprogram
Datavetenskap; Datavetenskap
Identifikatorer
urn:nbn:se:kau:diva-46982 (URN)978-91-7063-730-8 (ISBN)
Presentation
2016-12-13, 21A342 - Eva Erikssonsalen, Karlstads universitet, 651 88, Karlstad, 15:15 (engelsk)
Opponent
Veileder
Tilgjengelig fra: 2016-11-22 Laget: 2016-10-31 Sist oppdatert: 2019-09-19bibliografisk kontrollert
2. Engineering Privacy for Mobile Health Data Collection Systems in the Primary Care
Åpne denne publikasjonen i ny fane eller vindu >>Engineering Privacy for Mobile Health Data Collection Systems in the Primary Care
2019 (engelsk)Doktoravhandling, med artikler (Annet vitenskapelig)
Abstract [en]

Mobile health (mHealth) systems empower Community Health Workers (CHWs) around the world, by supporting the provisioning of Community-Based Primary Health Care (CBPHC) – primary care outside the health facility into people’s homes. In particular, Mobile Health Data Collection Systems (MDCSs) are used by CHWs to collect health-related data about the families that they treat, replacing paper-based approaches for health surveys. Although MDCSs significantly improve the overall efficiency of CBPHC, existing and proposed solutions lack adequate privacy and security safeguards. In order to bridge this knowledge gap between the research areas of mHealth and privacy, the main research question of this thesis is: How to design secure and privacy-preserving systems for Mobile Health Data Collection Systems? To answer this question, the Design Method is chosen as an engineering approach to analyse and design privacy and security mechanisms for MDCSs. Among the main contributions, a comprehensive literature review of the Brazilian mHealth ecosystem is presented. This review led us to focus on MDCSs due to their impact on Brazil’s CBPHC, the Family Health Strategy programme. On the privacy engineering side, the contributions are a Privacy Impact Assessment (PIA) for the GeoHealth MDCS and three mechanisms: (a) SecourHealth, a security framework for data encryption and user authentication; (b) an Ontology-based Data Sharing System (O-DSS) that provides obfuscation and anonymisation functions; and, (c) an electronic consent (e-Consent) tool for obtaining and handling informed consent. Additionally, practical experience is shared about designing a MDCS, GeoHealth, and deploying it in a large-scale experimental study. In conclusion, the contributions of this thesis offer guidance to mHealth practitioners, encouraging them to adopt the principles of privacy by design and by default in their projects.

Abstract [en]

Mobile health (mHealth) systems empower Community Health Workers (CHWs) around the world, by supporting the provisioning of Community-Based Primary Health Care (CBPHC). In particular, Mobile Health Data Collection Systems (MDCSs) are used by CHWs to collect health-related data about the families that they treat, replacing paper-based approaches. Although MDCSs improve the efficiency of CBPHC, existing solutions lack adequate privacy and security safeguards.

To bridge this knowledge gap between the research areas of mHealth and privacy, we start by asking: How to design secure and privacy-preserving systems for Mobile Health Data Collection Systems? To answer this question, an engineering approach is chosen to analyse and design privacy and security mechanisms for MDCSs.

Among the main contributions, a comprehensive literature review of the Brazilian mHealth ecosystem is presented. On the privacy engineering side, the contributions are a Privacy Impact Assessment (PIA) for the GeoHealth MDCS and three mechanisms: SecourHealth, a security framework for data encryption and user authentication; an Ontology-based Data Sharing System (O-DSS) that provides obfuscation and anonymisation functions; and, an electronic consent (e-Consent) tool for obtaining and handling informed consent.

sted, utgiver, år, opplag, sider
Karlstad: Karlstads universitet, 2019. s. 55
Serie
Karlstad University Studies, ISSN 1403-8099 ; 2019:1
Emneord
Privacy, data protection, information security, mobile health, community-based primary care, privacy impact assessment, consent management, anonymisation
HSV kategori
Forskningsprogram
Datavetenskap
Identifikatorer
urn:nbn:se:kau:diva-70216 (URN)978-91-7063-900-5 (ISBN)978-91-7063-995-1 (ISBN)
Disputas
2019-01-31, 1A305, Lagerlöfsalen, Karlstad, 10:00 (engelsk)
Opponent
Veileder
Prosjekter
HITS, 4707
Forskningsfinansiär
Knowledge Foundation
Tilgjengelig fra: 2019-01-08 Laget: 2018-11-27 Sist oppdatert: 2020-02-25bibliografisk kontrollert

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