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Computer security for data collection technologies()
Many organizations in the developing world (e.g., NGOs), include digital data collection in their workflow. Data collected can include information that may be considered sensitive, such as medical or socioeconomic data, and which could be affected by computer security attacks or unintentional mishan...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6277821/ https://www.ncbi.nlm.nih.gov/pubmed/30555887 http://dx.doi.org/10.1016/j.deveng.2017.12.002 |
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author | Cobb, Camille Sudar, Samuel Reiter, Nicholas Anderson, Richard Roesner, Franziska Kohno, Tadayoshi |
author_facet | Cobb, Camille Sudar, Samuel Reiter, Nicholas Anderson, Richard Roesner, Franziska Kohno, Tadayoshi |
author_sort | Cobb, Camille |
collection | PubMed |
description | Many organizations in the developing world (e.g., NGOs), include digital data collection in their workflow. Data collected can include information that may be considered sensitive, such as medical or socioeconomic data, and which could be affected by computer security attacks or unintentional mishandling. The attitudes and practices of organizations collecting data have implications for confidentiality, availability, and integrity of data. This work, a collaboration between computer security and ICTD researchers, explores security and privacy attitudes, practices, and needs within organizations that use Open Data Kit (ODK), a prominent digital data collection platform. We conduct a detailed threat modeling exercise to inform our view on potential security threats, and then conduct and analyze a survey and interviews with technology experts in these organizations to ground this analysis in real deployment experiences. We then reflect upon our results, drawing lessons for both organizations collecting data and for tool developers. |
format | Online Article Text |
id | pubmed-6277821 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-62778212018-12-14 Computer security for data collection technologies() Cobb, Camille Sudar, Samuel Reiter, Nicholas Anderson, Richard Roesner, Franziska Kohno, Tadayoshi Dev Eng Article Many organizations in the developing world (e.g., NGOs), include digital data collection in their workflow. Data collected can include information that may be considered sensitive, such as medical or socioeconomic data, and which could be affected by computer security attacks or unintentional mishandling. The attitudes and practices of organizations collecting data have implications for confidentiality, availability, and integrity of data. This work, a collaboration between computer security and ICTD researchers, explores security and privacy attitudes, practices, and needs within organizations that use Open Data Kit (ODK), a prominent digital data collection platform. We conduct a detailed threat modeling exercise to inform our view on potential security threats, and then conduct and analyze a survey and interviews with technology experts in these organizations to ground this analysis in real deployment experiences. We then reflect upon our results, drawing lessons for both organizations collecting data and for tool developers. Elsevier Ltd 2018 /pmc/articles/PMC6277821/ /pubmed/30555887 http://dx.doi.org/10.1016/j.deveng.2017.12.002 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Cobb, Camille Sudar, Samuel Reiter, Nicholas Anderson, Richard Roesner, Franziska Kohno, Tadayoshi Computer security for data collection technologies() |
title | Computer security for data collection technologies() |
title_full | Computer security for data collection technologies() |
title_fullStr | Computer security for data collection technologies() |
title_full_unstemmed | Computer security for data collection technologies() |
title_short | Computer security for data collection technologies() |
title_sort | computer security for data collection technologies() |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6277821/ https://www.ncbi.nlm.nih.gov/pubmed/30555887 http://dx.doi.org/10.1016/j.deveng.2017.12.002 |
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