Location Privacy in Pervasive Computing
IEEE Pervasive Computing
Privacy by Design - Principles of Privacy-Aware Ubiquitous Systems
UbiComp '01 Proceedings of the 3rd international conference on Ubiquitous Computing
Mix Zones: User Privacy in Location-aware Services
PERCOMW '04 Proceedings of the Second IEEE Annual Conference on Pervasive Computing and Communications Workshops
Location disclosure to social relations: why, when, & what people want to share
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Extracting places from traces of locations
ACM SIGMOBILE Mobile Computing and Communications Review
Enhancing Security and Privacy in Traffic-Monitoring Systems
IEEE Pervasive Computing
Anonymous Usage of Location-Based Services Through Spatial and Temporal Cloaking
Proceedings of the 1st international conference on Mobile systems, applications and services
Collective information practice: emploring privacy and security as social and cultural phenomena
Human-Computer Interaction
A survey of computational location privacy
Personal and Ubiquitous Computing
Understanding transportation modes based on GPS data for web applications
ACM Transactions on the Web (TWEB)
Inference attacks on location tracks
PERVASIVE'07 Proceedings of the 5th international conference on Pervasive computing
Empirical models of privacy in location sharing
Proceedings of the 12th ACM international conference on Ubiquitous computing
The VLDB Journal — The International Journal on Very Large Data Bases
On the anonymity of periodic location samples
SPC'05 Proceedings of the Second international conference on Security in Pervasive Computing
A formal model of obfuscation and negotiation for location privacy
PERVASIVE'05 Proceedings of the Third international conference on Pervasive Computing
Proximity sensor: privacy-aware location sharing
Proceedings of the 15th international conference on Human-computer interaction with mobile devices and services
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Despite the proliferation of location-based services on mobile platforms, privacy concerns still refrain many people from using them regularly. Moreover, current location sharing tools often present over-simplistic privacy settings by which users are forced to the binary alternative of sharing everything or nothing. The goal of this research is to build novel privacy-aware tools through which users can share their location more easily and in the way they consider more appropriate. Starting from the study of the sharing functionalities and how people use them, I aim at building a platform for efficiently sharing location, supported by a usable interface through which users can easily understand how sharing works and feel in control of their data. Furthermore, the security mechanisms employed are conceived such that privacy is considered as an integral part of the sharing mechanisms, in a privacy-by-design approach.