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Privacy Enhancing Tools: A Literature Review on End-User Role and Evaluation
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0002-5286-4850
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0001-9468-6821
2017 (English)In: Proceedings of the Eleventh International Symposium on Human Aspects of Information Security & Assurance (HAISA 2017) / [ed] Steven Furnell, Nathan L. Clarke, Plymouth: University of Plymouth Press, 2017Conference paper, Published paper (Refereed)
Abstract [en]

Trends show that privacy concerns are rising, but end users are not armed with enoughmechanisms to protect themselves. Privacy enhancing technologies (PETs) or morespecifically, tools (PET-tools) are one of the mechanisms that could help users in this sense.These tools, however, reportedly have low adoption rates, and users tend to be reluctant tointegrate them into their daily use of the Internet. Detailed scrutiny of current research onPET-tools, however, can guide future research to help overcome low adoption of these tools.We conducted a literature review on PET-tools to enumerate the types of tools available andhow they are being evaluated, in order to shed more light on the missing elements in theirevaluations. We reviewed and coded 72 articles in the PET-tool literature. Our resultshighlight two important issues: 1. Evaluation of most tools is performed using only artificial,summative and ex-post strategies; 2. While usability evaluation is quite common, evaluationof enhanced privacy is lacking. This research hopes to contribute to better PET-tooldevelopment, and encourage the inclusion of users in the evaluation and design process.

Place, publisher, year, edition, pages
Plymouth: University of Plymouth Press, 2017.
Keywords [en]
Privacy Enhancing Technology, Tool, Privacy, Evaluation, End User
National Category
Information Systems, Social aspects
Research subject
Information systems
Identifiers
URN: urn:nbn:se:ltu:diva-67279ISBN: 978-1-84102-428-8 (print)OAI: oai:DiVA.org:ltu-67279DiVA, id: diva2:1173944
Conference
11th International Symposium on Human Aspects of Information Security & Assurance, HAISA 2017, Adelaide, Australia, 28-30 November 2017
Projects
USEMPPrivacyFlag
Funder
EU, Horizon 2020, 653426Available from: 2018-01-15 Created: 2018-01-15 Last updated: 2018-04-06Bibliographically approved

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CiteExportLink to record
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Citation style
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