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Clustering Context Items into User Trust Levels

Abstract

An innovative trust-based security model for Internet systems is proposed. The TCoRBAC model operates on user profiles built on the history of user with system interaction in conjunction with multi-dimensional context information. There is proposed a method of transforming the high number of possible context value variants into several user trust levels. The transformation implements Hierarchical Agglomerative Clustering strategy. Based on the user’s current trust level there are extra security mechanisms fired, or not. This approach allows you to reduce the negative effects on the system performance introduced by the security layer without any noticeable decrease in the system security level. There are also some results of such an analysis made on the Gdańsk University of Technology central system discussed.

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Copyright (Springer International Publishing Switzerland 2016)

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Details

Category:
Conference activity
Type:
materiały konferencyjne indeksowane w Web of Science
Published in:
Advances in Intelligent Systems and Computing no. 470, pages 333 - 342,
ISSN: 2194-5357
Title of issue:
11th International Conference on Dependability Engineering and Complex Systems strony 333 - 342
ISSN:
2194-5357
Language:
English
Publication year:
2016
Bibliographic description:
Lubomski P., Krawczyk H..: Clustering Context Items into User Trust Levels, W: 11th International Conference on Dependability Engineering and Complex Systems, 2016, SPRINGER INT PUBLISHING AG,.
DOI:
Digital Object Identifier (open in new tab) 10.1007/978-3-319-39639-2_29
Verified by:
Gdańsk University of Technology

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