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Interactive Access Rule Learning: Generating Adapted Access Rule Sets

Authors:
Matthias Beckerle
Leonardo A. Martucci
Sebastian Ries

Keywords: adaptivity; usability; access control; rule learning

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.

Pages: 104 to 110

Copyright: Copyright (c) IARIA, 2010

Publication date: November 21, 2010

Published in: conference

ISSN: 2308-4146

ISBN: 978-1-61208-109-0

Location: Lisbon, Portugal

Dates: from November 21, 2010 to November 26, 2010