Paper Info
Title
Towards Location and Trajectory Privacy Preservation in 5G Vehicular Social Network.
Abstract
5G-based Vehicular Social Network (VSN) fiercely calls for an advanced requirement of vehicleu0027s 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 vehiclesu0027 location and trajectory privacy than the existing privacy-preserving scheme.
Year
Venue
Field
2017
CSE/EUC
Division algorithm,Femtocell,Social network,Computer science,Pseudonym,Computer network,Vehicle dynamics,Anonymity,Trajectory,Relay
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
7
5
Name
Order
Citations
PageRank
Dan Liao128622.88
Gang Sun246336.98
Ming Zhang323248.14
Victor Chang41202107.48
Hui Li5465.75