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QACBAC: an owner-centric QoC-aware context-based access control model for pervasive environments
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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: Access control model for GIS and pervasive environments table of contents
Pages 30-38  
Year of Publication: 2008
ISBN:978-1-60558-324-2
Authors
José Bringel Filho  University of Grenoble, Saint Martin d'Hères, France
Hervé Martin  University of Grenoble, Saint Martin d'Hères, France
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

In Pervasive Computing Environments (PCE), context information can have a strong impact on application adaptation; not only at application logic level but also security management level. Therefore, from an access control point of view, it is required that the access control models take into account context information such as location and time, in determining whether access should be allowed or not. As context information represents real-world situations, it is associated with certain quality indicators that can influence directly the access control decisions. In this paper, we propose an owner-centric QoC-Aware Context-Based Access Control model (QACBAC) that takes into account both context information and its QoC indicators to grant and to adapt access permissions to resources. We also introduce components and equations to measure the revelant QoC indicators to the access control services/users, that will be used in the QACBAC model. Moreover, a case study is presents showing the definition of access rules using the proposed access control model.


REFERENCES

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Collaborative Colleagues:
José Bringel Filho: colleagues
Hervé Martin: colleagues