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Obtaining Strong Identifiers Through Attribute Aggregation

Authors:
Walter Priesnitz Filho
Carlos Nuno da Cruz Ribeiro

Keywords: Privacy; Identity Management Systems; Attribute Aggregation

Abstract:
The development of services and the demand for resource sharing among users from different organizations with some level of affinity motivate the creation of identity management systems. An identifier can be a single name or a number that uniquely identifies a person, although this is often just a representation of a facet of the person. In a federation, services may require user facets comprised of attributes managed by different identity systems which may then be perceived as two facets of two distinct users and not as belonging to the same user. This problem can be handled by adding a new entity type to the traditional architecture thereby creating links between users from different Identity Providers (IdPs), or by using ontologies in order to establish relations between user attributes from several IdPs. In this paper, we propose a solution consisting of obtaining strong identifiers by combining user attributes within IdPs using direct attribute matching and ontologies. Our application context is the Stork 2.0 Project, an eGovernment Large Scale Project (LSP).

Pages: 96 to 100

Copyright: Copyright (c) IARIA, 2014

Publication date: November 16, 2014

Published in: conference

ISSN: 2162-2116

ISBN: 978-1-61208-376-6

Location: Lisbon, Portugal

Dates: from November 16, 2014 to November 20, 2014