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Interactive Access Rule Learning: Generating Adapted Access Rule Sets

Beckerle, Matthias ; Martucci, Leonardo ; Ries, Sebastian (2010)
Interactive Access Rule Learning: Generating Adapted Access Rule Sets.
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

This paper tackles the problem of usability and security in access control mechanisms. A theoretical solution for this problem is presented using the combination of automatic rule learning and user interaction. The result is the interactive rule learning approach. Interactive rule learning is designed to complete attribute-based access control to generate concise rule sets even by non-expert end-users. The resulting approach leads to adaptive access control rule sets that can be used for smart products.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2010
Autor(en): Beckerle, Matthias ; Martucci, Leonardo ; Ries, Sebastian
Art des Eintrags: Bibliographie
Titel: Interactive Access Rule Learning: Generating Adapted Access Rule Sets
Sprache: Deutsch
Publikationsjahr: 2010
Buchtitel: ADAPTIVE 2010 : The Second International Conference on Adaptive and Self-Adaptive Systems and Applications
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Kurzbeschreibung (Abstract):

This paper tackles the problem of usability and security in access control mechanisms. A theoretical solution for this problem is presented using the combination of automatic rule learning and user interaction. The result is the interactive rule learning approach. Interactive rule learning is designed to complete attribute-based access control to generate concise rule sets even by non-expert end-users. The resulting approach leads to adaptive access control rule sets that can be used for smart products.

Freie Schlagworte: - ALW - Area Ambient Learning & Knowledge Work;adaptivity; usability; access control; rule learning
ID-Nummer: TUD-CS-2010-23870
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Telekooperation
Hinterlegungsdatum: 31 Dez 2016 12:59
Letzte Änderung: 03 Jun 2018 21:31
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