Edge Supported QoS based Secure Data Communication mechanism for Software Defined Vehicular Networks
Deepanshu Garg, Rasmeet Singh Bali
Abstract
The automotive industry has emerged as a new frontier for integration of computational technologies. Due to advancement in various features of vehicles, they are intended to enable a diverse set of applications. Moreover, these applications are required to be capable of meeting on-demand user requirements for guaranteed Quality of Service (QoS) based secure service delivery. To meet such requirements, we have proposed an edge-supported QoS-based secure data transmission paradigm for Software Defined Vehicular Networks. This proposed mechanism has been implemented in two phases. In the first step, an opinion-based trust computation scheme has been proposed to evaluate trust value of vehicles. In the second step, vehicles with an acceptable trust value are selected for block-chain enabled secure Vehicle to Vehicle (V2V) communication. Furthermore, Software Defined Network (SDN) and Edge Computing have been incorporated into the proposed mechanism to achieve QoS. In this, the deployment of SDN will help in enabling centralized control and managing global information shared by the vehicles whereas edge computing has been used for enhancing processing capabilities of proposed mechanism. Performance evaluation of the proposed scheme is analyzed using NS3, and the obtained simulation results show secure data transactions concerning comparative benchmarks.