DOI码：10.1109/VTCSpring.2016.7504071

发表刊物：2016 IEEE 83rd Vehicular Technology Conference (VTC Spring)

摘要：Cloud-enabled vehicular network is an emerging paradigm which utilizes cloud computing to enhance the performance of vehicular network. But some issues still need to be addressed and we focus on the pseudonym resources management, which is crucial for vehicles to guarantee location privacy. A new three-plane hierarchical architecture with software defined network technology is proposed to manage the pseudonym resources. We use two-sided matching theory to solve the pseudonym resources allocation problem among pseudonym pools in different roadside unit clouds. Numerical results show that our proposed approach optimizes the pseudonym resources utilization and also improves the privacy entropy of vehicles.

第一作者：X. Huang, J. Kang, R. Yu, M. Wu, Y. Zhang, S. Gjessing

论文类型：论文集

是否译文：否

发表时间：2016-07-07