Consortium Blockchain-Based Secure Software Defined Vehicular Network

Abstract

The vehicular ad hoc network (VANET) is a promising technology that can provide Internet access services for vehicles. With the development of VANET, tremendous intelligent vehicles will emerge mass and different communication requirements. Software-defined networking (SDN) is regarded as a potential technology to enhance network performance. In recent years, a new networking paradigm called software defined vehicular networks (SDVN) has been proposed. Nevertheless, the security issues still need to be considered for SDVN, because malicious vehicles can put forward fake requirements on the control plane of SDVN, which deteriorates the network performance in a certain degree. In this paper, we associate resources allocation problem with trust value of vehicles for the first time. The trust value of vehicles can be obtained through trust management system. Considering that there are many defects in the state-in-art trust management schemes, in this paper, a decentralized trust management architecture is designed which constitutes of three layers based on consortium blockchain. A joint proof-of-stake and modified practical Byzantine fault tolerance (PoS-mPBFT) algorithm is proposed to the shorten the confirmation time, which is deployed on RSUs. Different from previous researches that focus on designing methods to evaluate trust value, we use prediction model to estimate trust value of vehicles in the next period. After calculating trust value of vehicles, it assigns more resources to those high credibility vehicles when SDN services are provided. Meanwhile, to increase the efficiency of resource allocation, we convert the multiple-path mapping problem of the virtual network into the multi-commodity flow problem, which is solved by a heuristic algorithm. The simulation results indicate that the proposed trust management architecture and heuristic algorithm could provide better safety in SDVN and shorten consensus time, meanwhile effectively abstract underlying resources to enhance network load balance and capacity.