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PrivacyDates: A Framework for More Privacy-Preserving Timestamp Data Types

dc.contributor.authorBurkert, Christian
dc.contributor.authorBalack, Jonathan
dc.contributor.authorFederrath, Hannes
dc.contributor.editorChristian Wressnegger, Delphine Reinhardt
dc.date.accessioned2023-01-24T11:17:53Z
dc.date.available2023-01-24T11:17:53Z
dc.date.issued2022
dc.description.abstractCase studies of application software data models indicate that timestamps are excessively used in connection with user activity. This contradicts the principle of data minimisation which demands a limitation to data necessary for a given purpose. Prior work has also identified common purposes of timestamps that can be realised by more privacy-preserving alternatives like counters and dates with purpose-oriented precision. In this paper, we follow up by demonstrating the real-world applicability of those alternatives. We design and implement three timestamp alternatives for the popular web development framework Django and evaluate their practicality by replacing conventional timestamps in the project management application Taiga.en
dc.identifier.doi10.18420/sicherheit2022_06
dc.identifier.isbn978-3-88579-717-3
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/40148
dc.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofGI SICHERHEIT 2022
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-323
dc.subjectPrivacy by design
dc.subjectdata minimisation
dc.subjecttimestamps
dc.titlePrivacyDates: A Framework for More Privacy-Preserving Timestamp Data Typesen
dc.title.subtitleA Framework for More Privacy-Preserving Timestamp Data Typesen
gi.citation.endPage112
gi.citation.startPage101
gi.conference.date5.-8. April 2022
gi.conference.locationKarlsruhe
gi.conference.sessiontitleSession 2

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