Location Privacy in Pervasive Computing
IEEE Pervasive Computing
Towards a Better Understanding of Context and Context-Awareness
HUC '99 Proceedings of the 1st international symposium on Handheld and Ubiquitous Computing
Enhancing Security and Privacy in Traffic-Monitoring Systems
IEEE Pervasive Computing
Preserving privacy in gps traces via uncertainty-aware path cloaking
Proceedings of the 14th ACM conference on Computer and communications security
Measuring unlinkability revisited
Proceedings of the 7th ACM workshop on Privacy in the electronic society
Inference attacks on location tracks
PERVASIVE'07 Proceedings of the 5th international conference on Pervasive computing
Towards an information theoretic metric for anonymity
PET'02 Proceedings of the 2nd international conference on Privacy enhancing technologies
PET'02 Proceedings of the 2nd international conference on Privacy enhancing technologies
On the effectiveness of changing pseudonyms to provide location privacy in VANETS
ESAS'07 Proceedings of the 4th European conference on Security and privacy in ad-hoc and sensor networks
On the anonymity of periodic location samples
SPC'05 Proceedings of the Second international conference on Security in Pervasive Computing
Secure vehicular communication systems: design and architecture
IEEE Communications Magazine
Measuring long-term location privacy in vehicular communication systems
Computer Communications
Privacy in inter-vehicular networks: why simple pseudonym change is not enough
WONS'10 Proceedings of the 7th international conference on Wireless on-demand network systems and services
Cooperative pseudonym change scheme based on the number of neighbors in VANETs
Journal of Network and Computer Applications
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The emerging vehicle-to-vehicle/vehicle-to-infrastructure (V2X) communication systems enable a new way of collaboration among the vehicles, the operators of transportation systems, and the service providers. However, many functionalities of V2X systems rely on detailed location information. This raises concerns on location privacy of the users of such systems. Although privacy protection mechanisms have been developed, existing privacy metrics are inappropriate or insufficient to reflect the true underlying privacy values in such systems. Without a proper metric, preserving location privacy in V2X communication systems becomes difficult due to the lack of a benchmark to evaluate any given protection mechanisms. In this paper, we develop a quantitative metric to measure and quantify location privacy in V2X systems. To do so, we introduce the concept of snapshots, which capture the information related to a user in a given space and time. Then the level of location privacy is quantified as the uncertainty of the information related to that user. Our analyses show that the metric provides the users, the system designers, and other stakeholders a valuable tool to evaluate the risk and measure the level of location privacy in V2X communication systems.