SPS: A novel semantics-aware scheme for location privacy in people-centric sensing network

Abstract

With the development of wireless communication technologies, people-centric sensing network which is a newly sensor network provides an opportunity to create intelligence systems. However, location privacy became one of the most serious problems to promote development of people-centric sensing network. Currently, many privacy-preserving techniques for location services focused on obfuscation. However, most of them did not take into account the semantics-aware threat. In this paper, we propose a novel scheme named a novel Semantics-aware scheme for location privacy in People-centric Sensing network (SPS). The original contribution of the paper is a novel scheme for selecting the sensitivity threshold value and protecting location privacy from the obfuscated space generator. Moreover, we evaluate the performance of SPS. The result shows that SPS could resist the semanticsaware threat under a reasonable cost.