SensLoc: sensing everyday places and paths using less energy
Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems
Third party geolocation services in LBS: privacy requirements and research issues
Transactions on Data Privacy
Capturing location-privacy preferences: quantifying accuracy and user-burden tradeoffs
Personal and Ubiquitous Computing
Fine-Grained Cloaking of Sensitive Positions in Location-Sharing Applications
IEEE Pervasive Computing
Learning and recognizing the places we go
UbiComp'05 Proceedings of the 7th international conference on Ubiquitous Computing
Privacy-aware geolocation interfaces for volunteered geography: a case study
Proceedings of the 1st ACM SIGSPATIAL International Workshop on Crowdsourced and Volunteered Geographic Information
Location tracking via social networking sites
Proceedings of the 5th Annual ACM Web Science Conference
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We present a privacy-preserving framework for the protection of location from potentially untrustworthy location providers (LP), offering geolocation services to LBS subscribers, across indoor and outdoor settings. This framework, called Placeprint, is built on the metaphor of private place[1]. A private place is a user-defined spatial context which belongs to the personal sphere of an individual, e.g. home. In Placeprint, users equipped with commodity devices, can be geolocated in private places without revealing to the LP their presence. Moreover users can specify context-based privacy rules to forestall the disclosure of private places also to LBS providers. The ultimate goal is to provide users with the capability of exercising flexible control over the disclosure of the position to both LP and LBS provider.