Secure vehicle traffic data dissemination and analysis protocol in vehicular cloud computing

Abstract

Intelligent transportation systems seek to maximize the usage of data generated by the vehicles for road users assistance. Combining vehicular ad hoc network with cloud computing makes it easy for the fixed infrastructures along the roads to collect and analyze safety messages for the benefits of the road users and the transportation authorities. However, security features need to be fully assessed before the adoption of such applications. In this paper, we present a secure vehicle traffic data dissemination and analysis in vehicular cloud computing in which the identity privacy of the vehicles and their generated message is achieved through pseudonym techniques. We use anonymous credential to guarantee the authorization of service demanding vehicles. ID-based signature is applied to assure the authentication of the vehicles for given pseudonyms. The efficient verification of signature on the message and revoked vehicles are achieved through batch verification technique and pseudonymous revocation list, respectively. Traffic estimation methods are applied to mine coarse-grained data collected by road side infrastructures. The merits of the proposed protocol compared to existing ones are shown through extensive simulations.

Lightweight Secure Authentication and Key Distribution Scheme for Vehicular Cloud Computing

“…It can help vehicles to judge whether an event message can be trusted or not, and it can help the reputation management center to calculate trust values of all vehicles. The authors in Reference [7] present a secure vehicle traffic data dissemination and analysis protocol in VCC, where they adopt the pseudonym technique to preserve vehicles privacy. An anonymous credential approach is used to generate vehicles' authorization.…”

Dynamic Priority-Based Efficient Resource Allocation and Computing Framework for Vehicular Multimedia Cloud Computing

“…The correctness of the proposed scheme is verified against various schemes. Similarly, ID-based signature technique for information verification in the VCC is developed in [28]. In the proposed scheme, the signature verification is carried out with the help of the pseudonymous revocation and batch verification techniques.…”

Priority-Based Cloud Computing Architecture for Multimedia-Enabled Heterogeneous Vehicular Users

“…To deal with this, cloud computing is best suited for a vehicular network, but security for the flow of data between the cloud and roadside units is a challenge. Thus, secure vehicle traffic data dissemination and analysis for cloud-based VANETs were proposed [21]. The proposed scheme applies privacy to the identification of a vehicle and its data flow through a pseudonym mechanism.…”