Adaptive Network Defense Architectures for Autonomous Vehicle Networks

Abstract

In this article, we built up and through simulations, assessed a novel architecture of Adaptive Network Defenses (AND) to achieve robust security in IoV. In our proposed architecture, the vehicles are functioned as sensors with processing and analysis capabilities and a SDN controller is directed and programmed to adapt to changes in traffic conditions and security attack measures.  Moreover, the high-highway communication link is a shared-medium link. In which, the security commands of vehicle are saved and graphed as entries and that can be used to optimize the SFC decision. For analyzing the security of the proposed system, our comprehensive simulations for the different attacking scenarios and traffic conditions have been executed. The simulation results demonstrate that the proposed security architecture, after encountering the security changes, will detect the malicious nod in nearly one second, with recovering the link between the functions of an attacked nodes and the network.