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Privacy policies compliance across digital identity management systems
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Geographic Information Systems archive
Proceedings of the SIGSPATIAL ACM GIS 2008 International Workshop on Security and Privacy in GIS and LBS table of contents
Irvine, California
SESSION: Policies table of contents
Pages 72-81  
Year of Publication: 2008
ISBN:978-1-60558-324-2
Authors
Anna C. Squicciarini  The Pennsylvania State University, University Park, PA
Alexei Czeskis  University of Washington, Seattle, WA
Abhilasha Bhargav-Spantzel  Intel Corporation, Santa Clara, CA
Sponsors
SIGSPATIAL : ACM Special Interest Group on Spatial Information
CERIAS : The Center for Education and Research in Information Assurance and Security
OCR : IBM Open Collaboartive Research Initiative
Publisher
ACM  New York, NY, USA
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ABSTRACT

An emerging approach for protecting identities of individuals, while at the same time enhancing user convenience, is represented by federated identity management systems. In this paper we develop an approach to support privacy controlled sharing of identity attributes in federated environments. We present a wide range of strategies that enable users to trace their personal information across the federation and verify whether it has been managed according to their privacy preferences. Users can employ one or more of these strategies according to their goals and priorities. Additionally, we analyze the challenging issue of data, privacy policy, and preference updates in a federated system. Our algorithm allows users and federated service providers to control whether new versions of data and users' privacy references have been used, and detect possible inconsistencies.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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Collaborative Colleagues:
Anna C. Squicciarini: colleagues
Alexei Czeskis: colleagues
Abhilasha Bhargav-Spantzel: colleagues