AuthorsX. Huang, R. Yu, J. Kang, N. Wang, S. Maharjan and Y. Zhang
TitleSoftware Defined Networking with Pseudonym Systems for Secure Vehicular Clouds
AfilliationCommunication Systems
Project(s)The Center for Resilient Networks and Applications
Publication TypeJournal Article
Year of Publication2016
JournalIEEE Access
Date Published04/2016

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 efciently utilized to secure vehicular clouds. However, only a few existing architectures of pseudonym systems take exibility and efciency into consideration, thus leading to potential threats to location privacy. In this paper, we exploit software-dened networking technology to signicantly extend the exibility and programmability for pseudonym management in vehicular clouds. We propose a software-dened 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-dened pseudonym system signicantly improves the pseudonym resource utilization, and meanwhile, effectively enhances the vehicles' location privacy by raising their entropy.

Citation Key24545