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Ontology-based Obfuscation and Anonymisation for Privacy: A Case Study on Healthcare
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science. (Privacy and Security)ORCID iD: 0000-0001-9005-0543
Trento University, Italy. (Department of Information Engineering and Computer Science)
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science. (Privacy and Security)ORCID iD: 0000-0002-9980-3473
Trento University, Italy. (Department of Information Engineering and Computer Science)
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2015 (English)In: Privacy and Identity Management: Time for a Revolution? / [ed] David Aspinal, Marit Hansen, Jan Camenisch, Simone Fischer-Hübner, Charles Raab, Springer, 2015, 343-358 p.Conference paper (Refereed)
Place, publisher, year, edition, pages
Springer, 2015. 343-358 p.
Series
, IFIP Advances in Information and Communication Technology, ISSN 2016 ; 1868-4238
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:kau:diva-43014ISBN: 978-3-319-41762-2OAI: oai:DiVA.org:kau-43014DiVA: diva2:937525
Conference
10th IFIP WG 9.2, 9.5, 9.6/11.7, 11.4, 11.6/SIG 9.2.2 International Summer School
Available from: 2016-06-15 Created: 2016-06-15 Last updated: 2016-10-31Bibliographically approved
In thesis
1. Secure and Privacy-aware Data Collection and Processing in Mobile Health Systems
Open this publication in new window or tab >>Secure and Privacy-aware Data Collection and Processing in Mobile Health Systems
2016 (English)Licentiate thesis, comprehensive summary (Other academic)
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.

Place, publisher, year, edition, pages
Karlstad: Karlstads universitet, 2016. 28 p.
Series
Karlstad University Studies, ISSN 1403-8099 ; 2016:47
Keyword
Mobile health, information security, data privacy, data collection, personal health data
National Category
Computer and Information Science
Research subject
Computer Science; Computer Science
Identifiers
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 (English)
Opponent
Supervisors
Available from: 2016-11-22 Created: 2016-10-31 Last updated: 2016-11-22Bibliographically approved

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