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Interactive access rule learning: Generating adapted access rule sets
Technische Universitt Darmstadt Darmstadt, Germany.
(Privacy and Security Group)ORCID iD: 0000-0002-9980-3473
Technische Universitt Darmstadt, Darmstadt, Germany.
2010 (English)In: ADAPTIVE 2010: The Second International Conference on Adaptive and Self-Adaptive Systems and Applications November 21-26, 2010 - Lisbon, Portugal / [ed] Ali Beklen, Jorge Ejarque, Wolfgang Gentzsch, Teemu Kanstren, Arne Koschel, Yong Woo Lee, Li Li & Michal Zemlicka, International Academy, Research and Industry Association (IARIA), 2010, p. 104-110Conference paper, Published paper (Refereed)
Abstract [en]

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 automaticrule 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.

Place, publisher, year, edition, pages
International Academy, Research and Industry Association (IARIA), 2010. p. 104-110
Series
ComputationWorld ; 2010
Keyword [en]
adaptivity, usability, access control, rule learning
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-27799ISBN: 978-1-61208-109-0 (print)OAI: oai:DiVA.org:kau-27799DiVA, id: diva2:628219
Conference
The Second International Conference on Adaptive and Self-adaptive Systems and Applications, ADAPTIVE 2010. November 21-26, 2010 - Lisbon, Portugal
Available from: 2013-06-13 Created: 2013-06-13 Last updated: 2018-01-11Bibliographically approved

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Martucci, Leonardo

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CiteExportLink to record
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  • apa
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  • ieee
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Output format
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