Towards Location and Trajectory Privacy Preservation in 5G Vehicular Social Network
Dan Liao, Gang Sun, Ming Zhang, Victor I. C. Chang, Hui Li · 2017
5G-based Vehicular Social Network (VSN) fiercely calls for an advanced requirement of vehicle's location and trajectory privacy preserving scheme. Since the VSN owns the characteristics of high mobility and multiple hops relay, we first construct an architecture of 5G-based VSN with the Mobile Femtocell (MFemtocell). Then we propose the Dynamic Group Division algorithm (DGD), which is suitable for the dynamic property of 5G and meets the real-time demand of VSN. For privacy preserving, the DGD algorithm increases the chance of pseudonym exchanging with the proposed group generating protocol and pseudonym exchanging protocol. Finally, we evaluate and validate the effectiveness of our proposed algorithm from three aspects: anonymity set size, distance deviation and pseudonym entropy. The simulation results show that the DGD algorithm can more effectively protect the vehicles' location and trajectory privacy than the existing privacy-preserving scheme.