Adaptive Personalized Privacy in Participatory Sensing

The participatory sensing paradigm has interesting applications, e.g. electrosmog/air-pollution monitoring, carbon footprint estimation, etc., but raises serious privacy concerns. Existing static privacy-enabling approaches offer no privacy guarantees, while individual privacy requirements cannot be met. In this work, we propose an adaptive privacy protection scheme, in order to meet personalized locationprivacy protection requirements and experimentally prove its effectiveness against static privacy-protection schemes.


Presented at:
5th ACM Conference on Security and Privacy in Wireless and Mobile Networks, Tucson, Arizona, USA, April 16-18, 2012
Year:
2012
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 Record created 2012-03-22, last modified 2018-03-18

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