Privacy Protection in Participatory Sensing Applications Requiring Fine-Grained Locations

Kai Dong, Tao Gu, Xianping Tao, Jian Lu

Publikation: Kapitel i bog/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review


The emerging participatory sensing applications
have brought a privacy risk where users expose their location
information. Most of the existing solutions preserve location
privacy by generalizing a precise user location to a coarse-grained
location, and hence they cannot be applied in those applications
requiring fine-grained location information. To address this issue,
in this paper we propose a novel method to preserve location
privacy by anonymizing coarse-grained locations and retaining
fine-grained locations using Attribute Based Encryption (ABE).
In addition, we do not assume the service provider is an
trustworthy entity, making our solution more feasible to practical
applications. We present and analyze our security model, and
evaluate the performance and scalability of our system.
TitelIn Proc. of the 16th IEEE International Conference on Parallel and Distributed Systems (ICPADS 2010), Shanghai, China, December 8-10, 2010.
ForlagIEEE Computer Society Press
StatusUdgivet - 2010


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