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mHealth :
mHealth : A Privacy Threat Analysis for Public Health Surveillance Systems
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- Iwaya, Leonardo H (författare)
- Karlstads universitet,Institutionen för matematik och datavetenskap (from 2013),Privacy and Security,Department of Mathematics and Computer Science, Karlstad University, Sweden
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- Fischer-Hübner, Simone, 1963- (författare)
- Karlstads universitet,Institutionen för matematik och datavetenskap (from 2013),Department of Mathematics and Computer Science, Karlstad University, Sweden
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- Åhlfeldt, Rose-Mharie (författare)
- Högskolan i Skövde,Institutionen för informationsteknologi,Forskningsmiljön Informationsteknologi,Information Systems
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- Martucci, Leonardo, 1977- (författare)
- Karlstads universitet,Institutionen för matematik och datavetenskap (from 2013),Department of Mathematics and Computer Science, Karlstad Universitet, Sweden
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(creator_code:org_t)
- IEEE, 2018
- 2018
- Engelska.
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Ingår i: 2018 IEEE 31st International Symposium on Computer-Based Medical Systems. - : IEEE. - 9781538660607 - 9781538660614 ; , s. 42-47
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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https://urn.kb.se/re...
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Abstract
Ämnesord
Stäng
- Community Health Workers (CHWs) have been using Mobile Health Data Collection Systems (MDCSs) for supporting the delivery of primary healthcare and carrying out public health surveys, feeding national-level databases with families’ personal data. Such systems are used for public surveillance and to manage sensitive data (i.e., health data), so addressing the privacy issues is crucial for successfully deploying MDCSs. In this paper we present a comprehensive privacy threat analysis for MDCSs, discuss the privacy challenges and provide recommendations that are specially useful to health managers and developers. We ground our analysis on a large-scale MDCS used for primary care (GeoHealth) and a well-known Privacy Impact Assessment (PIA) methodology. The threat analysis is based on a compilation of relevant privacy threats from the literature as well as brain-storming sessions with privacy and security experts. Among the main findings, we observe that existing MDCSs do not employ adequate controls for achieving transparency and interveinability. Thus, threatening fundamental privacy principles regarded as data quality, right to access and right to object. Furthermore, it is noticeable that although there has been significant research to deal with data security issues, the attention with privacy in its multiple dimensions is prominently lacking.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences (hsv//eng)
Nyckelord
- Privacy
- Data privacy
- Security
- Surveillance
- Data collection
- Public healthcare
- Computer Science
- Datavetenskap
- Information Systems
- Informatik
- INF303 Informationssäkerhet
- Information Systems
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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