PEDRO : Privacy-Enhancing Decision suppoRt tOol
van Schaik, Paul and Renaud, Karen (2024) PEDRO : Privacy-Enhancing Decision suppoRt tOol. Applied Sciences, 14 (20). 9275. ISSN 2076-3417 (https://doi.org/10.3390/app14209275)
Preview |
Text.
Filename: van-Schaik-Renaud-AS-2024-PEDRO-Privacy-Enhancing-Decision-suppoRt-tOol.pdf
Final Published Version License: Download (1MB)| Preview |
Abstract
Citizens face online privacy threats from social media, online service providers and governments. Privacy-enhancing tools (PETs) can prevent privacy invasion, but the uptake of these is limited. We developed a novel conceptual framework for privacy self-protection, consisting of a classification framework of four distinct privacy threats and our own novel staged model of PET adoption requisites. Through an expert survey (N = 12) and a lay user survey (N = 500), we identified suitable PETs for non-expert users and identified potential barriers to PET adoption. Based on the studies and our theoretical framework, we then developed and implemented a PET decision support tool called PEDRO, and conducted expert evaluations (N = 10) to confirm the validity of its recommendations.
ORCID iDs
van Schaik, Paul and Renaud, Karen ORCID: https://orcid.org/0000-0002-7187-6531;-
-
Item type: Article ID code: 90844 Dates: DateEvent11 October 2024Published8 October 2024AcceptedSubjects: ?? QA76-890 ?? Department: Faculty of Science > Computer and Information Sciences Depositing user: Pure Administrator Date deposited: 14 Oct 2024 13:26 Last modified: 12 Nov 2024 09:39 URI: https://strathprints.strath.ac.uk/id/eprint/90844