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Modelling and Presentation of Privacy-Relevant Information for Internet Users

: Feth, Denis


Moallem, A.:
HCI for cybersecurity, privacy and trust. 2nd international conference, HCI-CPT 2020. Proceedings : Held as part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, 19th - 24th July 2020, held virtually
Cham: Springer, 2020 (Lecture Notes in Computer Science 12210)
ISBN: 978-3-030-50308-6
ISBN: 978-3-030-50309-3
International Conference on HCI for Cybersecurity, Privacy and Trust (HCI-CPT) <2, 2020, Online>
International Conference on Human-Computer Interaction (HCI International) <22, 2020, Online>
Bundesministerium für Bildung und Forschung BMBF (Deutschland)
01IS12053; Software Campus
Bundesministerium für Bildung und Forschung BMBF (Deutschland)
16KIS0898; TrUSD
Conference Paper
Fraunhofer IESE ()
Privacy policies; Taxonomy; Usable security; Transparency

Privacy policies are the state of the practice technique for data transparency. Oftentimes, however, they are presented in a non-prominent way, are lengthy, and are not written in the users’ language. As a result, their acceptance is rather low, even though users are generally interested in privacy. Thus, we need enhanced transparency approaches. In this paper, we present a taxonomy and models that allow to describe privacy-relevant information. These models are based on practical privacy policies and legal regulations, and enable automated processing of privacy-relevant information. Automated processing based on well-defined semantics is the baseline for new ways to represent privacy-relevant information, for example by filtering, step-wise refinement or contextualization.