With the development of Intelligent Connected Vehicle (ICV) technology, the spread of information in the traditional network environment will gradually penetrate into the Vehicle-to-Vehicle (V2V) communication network, posing a serious threat to the security of Intelligent Transportation Systems (ITS). Considering the interrelationship between traffic flow, information flow and attack propagation in the road environment where the networked vehicle and the unequipped vehicle are mixed, the integrated Traffic and information network model is used to describe the spread of abnormal information under the vehicle network security threat. The simulation results show that under different communication conditions and different traffic flow density environments, traffic disturbances after attacking networked vehicles can be analyzed, and ideas for developing corresponding security control strategies to prevent further threats are provided.

Internet of Vehicles;Cybersecurity;Risk Propagation