To this end, the paper reviews the background theory as well as proposes a method and a concrete tool. The results are demonstrated with a small case study.
Apr 30, 2020 · This paper can be positioned to the middle; the goal is to move toward “privacy-by-architecture” tenets. Privacy policies are necessary for many ...
Apr 8, 2022 · The mechanisms of layering in LPL are nested privacy policies with UnderlyingPrivacyPolicy and an inheritance mechanism for Purposes. While ...
In this paper, the socalled Layered Privacy Language (LPL) is coupled with web services in order to express personal data processing with a formal analysis ...
We present improvements to the theory, and a novel methodology (both in theory and practice). This paper is an extended version of our previous work ...
In this paper, we present a technique for constructing Layered Privacy Language policy data from web service code bases. Theoretically, we model the ...
Extracting Layered Privacy Language Purposes from Web Services
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List of publications > Extracting Layered Privacy Language Purposes from Web Services. Home · Publications · Persons · Organisations · Fields of Science. A4 ...
Extract the most crucial aspects of the privacy policy, which users are most likely to read, to the foreground. Nest successive detail levels within these ...
Extending layered privacy language to support privacy icons for a personal privacy ... Extracting LPL privacy policy purposes from annotated web service source ...
Abstract: Privacy policies are documents required by law and regulations that notify users of the collection, use, and sharing of their personal information ...