A self-configuring privacy management architecture for pervasive systems
Proceedings of the 5th ACM international workshop on Mobility management and wireless access
Privacy guaranteeing execution containers: one time use of personal data by location based services
Proceedings of the 1st international conference on MOBILe Wireless MiddleWARE, Operating Systems, and Applications
Adapting pervasive systems to multiuser privacy requirements
International Journal of Ad Hoc and Ubiquitous Computing
Privacy from promises to protection: privacy guaranteeing execution container
Mobile Networks and Applications
Enhancing privacy by applying information flow modelling in pervasive systems
OTM'07 Proceedings of the 2007 OTM Confederated international conference on On the move to meaningful internet systems - Volume Part II
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An increasing number of systems use contextualinformation about their users. Such contextualinformation can be used to design applications thatsurvey usage and adapt thereafter, or simply just usecontext information to optimize presentation. Contextinformation could therefore be used to create applicationsfor the benefit of the users of the system, but the sameinformation could cause serious violations of personalintegrity if misused. Locality may be the most widely used,but also the most sensitive contextual information. TheAlipes platform makes it easy to create location-basedservices while enforcing user privacy and integrity. Theplatform handles privacy through rules that describe howand under what circumstances a user's context may bedistributed to other users, for example rules describinglimitations concerning the user's context, a certain timeperiod, the number of queries and the type ofapplications. This paper presents how location privacy isenforced in the Alipes platform.