Impact of worm propagation on vehicular sensor networks exploiting V2V communications

In this paper an analytical framework based on ordinary differential equations (ODE) is derived which models the propagation of worms injecting false traffic information in a Vehicular Sensor Networks (VSN) by exploiting V2V communications. This is a relevant problem because faulty traffic information can deviate traffic flows causing a decrease in the vehicle density in certain areas which results in a reduction of the sensing power of the VSN. Therefore, in this work the interactions between worm infection propagation and the mobility of infected vehicles are analyzed. The proposed framework is applied to an urban scenario in which mobility traces are generated by exploiting the urban mobility simulator SUMO.