DOI码：10.1109/ACCESS.2016.2560902

发表刊物：IEEE Access

摘要：The vehicular cloud is a promising new paradigm, where vehicular networking and mobile cloud computing are elaborately integrated to enhance the quality of vehicular information services. Pseudonym is a resource for vehicles to protect their location privacy, which should be efficiently utilized to secure vehicular clouds. However, only a few existing architectures of pseudonym systems take flexibility and efficiency into consideration, thus leading to potential threats to location privacy. In this paper, we exploit software-defined networking technology to significantly extend the flexibility and programmability for pseudonym management in vehicular clouds. We propose a software-defined pseudonym system, where the distributed pseudonym pools are promptly scheduled and elastically managed in a hierarchical manner. In order to decrease the system overhead due to the cost of inter-pool communications, we leverage the two-sided matching theory to formulate and solve the pseudonym resource scheduling. We conducted extensive simulations based on the real map of San Francisco. Numerical results indicate that the proposed software-defined pseudonym system significantly improves the pseudonym resource utilization, and meanwhile, effectively enhances the vehicles' location privacy by raising their entropy.

第一作者：X. Huang, R. Yu, J. Kang, N. Wang, S. Maharjan, Y. Zhang

论文类型：期刊论文

卷号：4

ISSN号：2169-3536

是否译文：否

发表时间：2016-04-29