PROJECT TITLE :
LoDPD: A Location Difference-based Proximity Detection Protocol for Fog Computing - 2017
Proximity detection is one of the most common location-based applications in lifestyle when users intent to find their friends who get into their proximity. Studies on protecting user privacy information during the detection process are widely involved. In this paper, we initial analyze a theoretical and experimental analysis of existing solutions for proximity detection, and then demonstrate that these solutions either provide a weak privacy preserving or lead to a high communication and computational complexity. Accordingly, a location difference-primarily based proximity detection protocol is proposed based on the Paillier cryptosystem for the aim of handling the above shortcomings. The analysis results through an intensive simulation illustrate that our protocol outperforms traditional protocols in terms of communication and computation value.
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