Information modeling and relational databases: from conceptual analysis to logical design
Information modeling and relational databases: from conceptual analysis to logical design
An XPath-based preference language for P3P
WWW '03 Proceedings of the 12th international conference on World Wide Web
A Software Engineering Framework for Context-Aware Pervasive Computing
PERCOM '04 Proceedings of the Second IEEE International Conference on Pervasive Computing and Communications (PerCom'04)
An architecture for privacy-sensitive ubiquitous computing
Proceedings of the 2nd international conference on Mobile systems, applications, and services
Extending Context Models for Privacy in Pervasive Computing Environments
PERCOMW '05 Proceedings of the Third IEEE International Conference on Pervasive Computing and Communications Workshops
Pervasive Personalisation of Location Information: Personalised Context Ontology
AH '08 Proceedings of the 5th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Shadow attacks on users' anonymity in pervasive computing environments
Pervasive and Mobile Computing
Location Conflict Resolution with an Ontology
Pervasive '08 Proceedings of the 6th International Conference on Pervasive Computing
Re-identifying anonymous nodes
LoCA'06 Proceedings of the Second international conference on Location- and Context-Awareness
Middleware for distributed context-aware systems
OTM'05 Proceedings of the 2005 Confederated international conference on On the Move to Meaningful Internet Systems - Volume >Part I
Context data abstraction framework using RDF
Proceedings of the 4th International Conference on Uniquitous Information Management and Communication
UIC'07 Proceedings of the 4th international conference on Ubiquitous Intelligence and Computing
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Context information is used by pervasive networking and context-aware programs to adapt intelligently to different environments and user tasks. As the context information is potentially sensitive, it is often necessary to provide privacy protection mechanisms for users. These mechanisms are intended to prevent breaches of user privacy through unauthorised context disclosure. To be effective, such mechanisms should not only support user specified context disclosure rules, but also the disclosure of context at different granularities. In this paper we describe a new obfuscation mechanism that can adjust the granularity of different types of context information to meet disclosure requirements stated by the owner of the context information. These requirements are specified using a preference model we developed previously and have since extended to provide granularity control. The obfuscation process is supported by our novel use of ontological descriptions that capture the granularity relationship between instances of an object type.