Secure Vehicle Fog Based City Information Sensing Technology

In view of the rapid development of Internet of Vehicles(IoV)and wireless communication technology,intelligent transportation system plays an important role in improving urban road safety,sensing urban information,improving service quality and controlling network cost.However,due to the IoV's characteristics,there are two main problems in the research of IoV: i)the identity authentication of vehicles in the network is not accurate due to the mobility of network nodes;and ii)the route complexity and information redundancy of sensing information upload will increase greatly due to the large number of users in the IoV.Therefore,it is necessary to further explore and study the dynamic security authentication and the upload and processing of sensing information of vehicles in high-speed driving environment.For these problems mentioned above,some scholars proposed to use vehicle fog as the carrier of network security authentication and information sensing.However,there are still a lot of deficiencies in the research of this problem,including the lack of appropriate two-way security authentication scheme and redundant processing mechanism of sensing information.Therefore,this thesis makes an analysis of these two problems and puts forward corresponding solutions.The main contributions and innovations are summarized as follows:(1)For the identity security authentication based on vehicle fog,this thesis proposes a scheme of vehicle identity security authentication based on security elliptic curve.Firstly,according to the driving characteristics of vehicles,the IoV is divided into multiple fogs,and a two-tier identity authentication scheme based on fog(FBIA)is constructed.Then,a two-way authentication algorithm based on vehicle identity is proposed on the security authentication layer for vehicles out of fog.Finally,a vehicle behavior monitoring algorithm based on machine learning is proposed in the security monitoring layer.Through the simulation test,the FBIA scheme proposed in this thesis can authenticate the identity of the fog head and the vehicle in the fog at the same time,which has a significant improvement in the authentication accuracy and adaptability to the high-speed mobile network environment in the IoV.(2)For information sensing based on secure vehicle fog,this thesis proposes a twotier sensing model around the optimization of sensing mechanism and data processing.Firstly,a weighted graph model based on vehicle fog is established in the routing layer,and a new routing strategy is proposed to maximize the utilization of each vehicle.Then,in the data processing layer,an optimization algorithm of task allocation is proposed to reduce the resource consumption and maximize the resource utilization in the fog.Finally,a redundant information filtering algorithm is proposed in the relay node of the sensing information,which reduces the number of unnecessary communication flow in the network caused by the repeated sensing information collected by multiple vehicles.The simulation results show that the proposed model can dynamically optimize the routing strategy and task allocation scheme according to different nodes' and links' loads,thus greatly improving the utilization of network resources.