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Interactive Access Rule Learning: Generating Adapted Access Rule Sets

Beckerle, Matthias and Martucci, Leonardo and Ries, Sebastian :
Interactive Access Rule Learning: Generating Adapted Access Rule Sets.
ADAPTIVE 2010 : The Second International Conference on Adaptive and Self-Adaptive Systems and Applications
[Conference or Workshop Item] , (2010)

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.

Item Type: Conference or Workshop Item
Erschienen: 2010
Creators: Beckerle, Matthias and Martucci, Leonardo and Ries, Sebastian
Title: Interactive Access Rule Learning: Generating Adapted Access Rule Sets
Language: German
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.

Title of Book: ADAPTIVE 2010 : The Second International Conference on Adaptive and Self-Adaptive Systems and Applications
Uncontrolled Keywords: - ALW - Area Ambient Learning & Knowledge Work;adaptivity; usability; access control; rule learning
Divisions: Department of Computer Science
Department of Computer Science > Telecooperation
Date Deposited: 31 Dec 2016 12:59
Identification Number: TUD-CS-2010-23870
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