A Privacy Preserving V2I Service Access Management System for Vehicular Clouds

Abstract

Vehicular cloud computing is a technological paradigm shifting which takes advantage of cloud computing
to provide vehicles with useful computing resources and services. With the rapid advancement
of intelligent vehicles and Intelligent Transportation System infrastructures, some researches on the
literatures have put forth a vision of the combination of vehicular network with could computing in
recent. However, little efforts have concentrated on security features for vehicular cloud services. In
particular, privacy is one of the critical security issues in vehicular cloud as well as vehicular communications
since a third-party entity may be involved in cloud service management and operations. In
this paper, we design a privacy preserving vehicle-to-infrastructure cloud access management system
in which neither global eavesdropper nor any single system management entity can trace a vehicle
for service provision. We make use of pre-loaded pseudonyms to generate anonymous service access
tokens for vehicles and RSU local revocation check to reduce the size of revocation list in the system.