Article
Version 1
Preserved in Portico This version is not peer-reviewed
PEDRO: Privacy-Enhancing Decision suppoRt tOol
Version 1
: Received: 13 September 2024 / Approved: 13 September 2024 / Online: 16 September 2024 (09:21:00 CEST)
How to cite: Van Schaik, P.; Renaud, K. V. PEDRO: Privacy-Enhancing Decision suppoRt tOol. Preprints 2024, 2024091103. https://doi.org/10.20944/preprints202409.1103.v1 Van Schaik, P.; Renaud, K. V. PEDRO: Privacy-Enhancing Decision suppoRt tOol. Preprints 2024, 2024091103. https://doi.org/10.20944/preprints202409.1103.v1
Abstract
Citizens face online privacy threats from social media, organisations and governments. Privacy-enhancing tools (PETs) can help people to preserve their privacy, but the uptake of these is limited. We developed a conceptual framework for privacy self-protection, using 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).
Keywords
privacy-enhancing tool; technology adoption; step model; PET decision support tool
Subject
Computer Science and Mathematics, Security Systems
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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