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Nudging for quantitative access control systems

Lookup NU author(s): Dr Charles Morisset, Professor Thomas GrossORCiD, Professor Aad van Moorsel, Dr Iryna Yevseyeva


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On the one hand, an access control mechanism must make a conclusive decision for a given access request. On the other hand, such a mechanism usually relies on one or several decision making processes, which can return partial decisions, inconclusive ones, or conflicting ones. In some cases, this information might not be sufficient to automatically make a conclusive decision, and the access control mechanism might have to involve a human expert to make the final decision. In this paper, we formalise these decision making processes as quantitative access control systems, which associate each decision with a measure, indicating for instance the level of confidence of the system in the decision. We then propose to explore how nudging, i.e., how modifying the context of the decision making process for that human expert, can be used in this context. We thus formalise when such a delegation is required, when nudging is applicable, and illustrate some examples from the MINDSPACE framework in the context of access control. © 2014 Springer International Publishing.

Publication metadata

Author(s): Morisset C, Gross T, van Moorsel A, Yevseyeva I

Editor(s): Theo Tryfonas and Ioannis Askoxylakis

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: Second International Conference on Human Aspects of Information Security, Privacy, and Trust (HAS 2014)

Year of Conference: 2014

Pages: 340-351

Acceptance date: 01/01/1900

ISSN: 0302-9743

Publisher: Springer


DOI: 10.1007/978-3-319-07620-1_30

Library holdings: Search Newcastle University Library for this item

Series Title: Lecture Notes in Computer Science

ISBN: 9783319076195