Design And Implementation Of Intelligent Networked Vehicle Attack Path Modeling And Risk Assessment Algorithm

With the rapid development of artificial intelligence,big data,mobile network,Internet of things and cloud computing,automobile in the new century has launched an industrial revolution from traditional single travel tool to mobile intelligent information system.New concepts such as automatic driving,intelligent transportation and smart city have also developed rapidly,and intelligent networked automobile plays an increasingly important role.Modern intelligent networked vehicles have a large number of sensors.The complex and diverse wiring system inside the vehicle connects and integrates the electronic control unit and sensors to form an automobile Internet with millions of lines of code.Therefore,the complex network wiring system,various electronic control units and sensor communication will face unprecedented security threats.Analyzing the security threats of intelligent networked vehicles and quantitative risk assessment will attract more and more attention.Starting with the study of the architecture and security threats of intelligent networked vehicles,this paper analyzes the attack sources and attack paths of intelligent networked vehicles.It not only models the attack paths by using the traditional way of constructing attack graphs,but also proposes an attack graph modeling scheme based on Bayesian network,It is applied to the complex network attack path of intelligent networked vehicles,and the model is constructed.The Bayesian attack graph model is analyzed based on probability reasoning,and the availability of the model is verified.At present,the main research direction of most scholars is the security risk assessment in the traditional Internet field.As an emerging industrial product in the 21st century,the security risk assessment of its networking system still has a long way to go.This paper aims to make more scholars pay attention to this field through the research on the attack path modeling and security risk assessment of intelligent networked vehicles,In this way,we hope to promote the development of intelligent networked vehicle attack path modeling and security risk assessment.Specifically,this paper first introduces the security architecture of intelligent networked vehicle,introduces the networking system of intelligent networked vehicle,divides it into three parts:TSP cloud communication,v2x communication and on-board communication,and expounds the communication principle and mechanism inside and outside the vehicle;Then,by consulting the literature,the seven security threats faced by intelligent networked vehicles are analyzed and sorted out;Then,the attack path of intelligent networked vehicle is analyzed,and the attack entrance is divided into physical attack,short-range wireless attack and long-range wireless attack;Then,the definition and modeling of traditional attack graph are carried out,but the traditional attack graph can not carry out security risk assessment.Therefore,this paper proposes an attack graph modeling method based on Bayesian network,and models the attack path of intelligent networked vehicle,and achieves good results;Finally,the path analysis and modeling of malicious control vehicle attack are carried out on an automatic driving experimental vehicle,and the security risk assessment of the model based on probability reasoning is carried out.Finally,the experimental evaluation data are analyzed to verify the availability of the model and achieve good results.