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Unified Data Model for Tuple-Based Trust Scheme Publication

dc.contributor.authorWagner, Sven
dc.contributor.authorKurowski, Sebastian
dc.contributor.authorRoßnagel, Heiko
dc.contributor.editorRoßnagel, Heiko
dc.contributor.editorWagner, Sven
dc.contributor.editorHühnlein, Detlef
dc.date.accessioned2019-03-25T09:21:57Z
dc.date.available2019-03-25T09:21:57Z
dc.date.issued2019
dc.description.abstractTrust schemes are widely used by authorities to support verifiers of electronic transactions to determine the trustworthiness of relying parties. With a tuple-based publication, in addition to the trust scheme membership, the requirements of the trust scheme are published. For this, the development and publication of a unified data model derived from existing trust schemes (e.g. eIDAS) is needed, where each requirement is explicitly represented by one tuple. The consolidation and development of this data model, which is based on nine existing trust schemes, is presented along with possible applications and added value (e.g. improved mapping of trust schemes) in the field of trust verification. The data model includes the three abstract concepts Credential, Identity, and Attributes and in total 98 concepts, which can be added to standard trust lists using ETSI TS 119 612.en
dc.identifier.isbn978-3-88579-687-9
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/20982
dc.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofOpen Identity Summit 2019
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P293
dc.subjecttrust infrastructure
dc.subjecttrust scheme
dc.subjecttrust scheme publication
dc.subjectelectronic transaction
dc.subjecttrust management
dc.subjectidentity management
dc.subjecteIDAS.
dc.titleUnified Data Model for Tuple-Based Trust Scheme Publicationen
gi.citation.endPage142
gi.citation.startPage131
gi.conference.date28.-29. March 2019
gi.conference.locationGarmisch-Partenkirchen, Germany
gi.conference.sessiontitleRegular Research Papers

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