This paper presents preliminary results on anonymization and obfuscation techniques to preserve users' privacy in context-aware service provisioning. The techniques are based on generalizing request parameters as well as the context data provided to the application. Local context semantic aggregation is used to improve the quality of service that can be achieved while preserving privacy. The paper also shows how the software architecture of the CARE middleware can be extended to implement the proposed techniques
Pareschi, L., Riboni, D., Agostini, A., Bettini, C. (2008). Composition and generalization of context data for privacy preservation. In Proceedings of Sixth Annual IEEE International Conference on Pervasive Computing and Communications: PerCom 2008 (pp.429-433). IEEE Computer Society [10.1109/PERCOM.2008.47].
Composition and generalization of context data for privacy preservation
AGOSTINI, ALESSANDRA;
2008
Abstract
This paper presents preliminary results on anonymization and obfuscation techniques to preserve users' privacy in context-aware service provisioning. The techniques are based on generalizing request parameters as well as the context data provided to the application. Local context semantic aggregation is used to improve the quality of service that can be achieved while preserving privacy. The paper also shows how the software architecture of the CARE middleware can be extended to implement the proposed techniques
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