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)

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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 logoORCID: https://orcid.org/0000-0002-7187-6531;
  • Item type:Article
    ID code:90844
    Dates:
    Date
    Event
    11 October 2024
    Published
    8 October 2024
    Accepted
    Subjects:
    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
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