Location Privacy in Pervasive Computing
IEEE Pervasive Computing
Mix Zones: User Privacy in Location-aware Services
PERCOMW '04 Proceedings of the Second IEEE Annual Conference on Pervasive Computing and Communications Workshops
The Security and Privacy of Smart Vehicles
IEEE Security and Privacy
The security of vehicular ad hoc networks
Proceedings of the 3rd ACM workshop on Security of ad hoc and sensor networks
Swing & swap: user-centric approaches towards maximizing location privacy
Proceedings of the 5th ACM workshop on Privacy in electronic society
On the Optimal Placement of Mix Zones
PETS '09 Proceedings of the 9th International Symposium 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
AMOEBA: Robust Location Privacy Scheme for VANET
IEEE Journal on Selected Areas in Communications
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In a Vehicular Ad hoc NETwork (VANET), vehicles broadcast safety messages disclosing their trajectory information in order to warn drivers of impending accidents. Precise location information needed for these safety applications, combined with the need to exclude attackers through the use of authentication, creates a significant privacy risk. One method proposed to improve privacy is the use of many pseudonyms, and changing pseudonyms while in a mix zone where all other vehicles also change pseudonyms. Previous work has evaluated the effectiveness of mix zones using traces generated based on traffic theory. In this paper, we analyze the privacy obtainable from using mix zones in VANETs based on actual recordings of vehicle movements. We choose rank instead of entropy as our privacy metric because, as we will show, entropy is difficult to measure in our scenarios.