ConTra Preference Language: Privacy Preference Unification via Privacy Interfaces.

Sensors (Basel)

Chair for Distributed Information Systems, Faculty of Computer Science and Mathematics, University of Passau, 94032 Passau, Germany.

Published: July 2022

After the enactment of the GDPR in 2018, many companies were forced to rethink their privacy management in order to comply with the new legal framework. These changes mostly affect the to achieve GDPR-compliant privacy policies and management.However, measures to give users a better understanding of privacy, which is essential to generate legitimate interest in the , are often skipped. We recommend addressing this issue by the usage of privacy preference languages, whereas users define rules regarding their preferences for privacy handling. In the literature, preference languages only work with their corresponding privacy language, which limits their applicability. In this paper, we propose the ConTra preference language, which we envision to support users during privacy policy negotiation while meeting current technical and legal requirements. Therefore, ConTra preferences are defined showing its expressiveness, extensibility, and applicability in resource-limited IoT scenarios. In addition, we introduce a generic approach which provides privacy language compatibility for unified preference matching.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9316104PMC
http://dx.doi.org/10.3390/s22145428DOI Listing

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