Research And Implementation Of Vehicle Safety Inspection

With the rapid development of the Internet of Things,smart cars and car networking become more and more popular.Various attacks on the Internet of Vehicles continue to emerge,which seriously threaten the safety of vehicle networking.This article analyzes in depth several typical cases of car networking attacks and finds that car machine application safety is one of the keys to the current car networking security.In order to be able to carry out safety inspections on vehicle applications,this paper has carried out related research work on two important aspects of data acquisition and behavior monitoring in the process of vehicle safety testing.The main contents include:1.Vehicle application data network acquisition.The premise of application detection is the collection of application network data.The traditional network data collection method usually uses tools to perform LAN sniffing.However,some car machines do not provide WiFi and other interfaces in the network communication function,and there is no possibility of accessing the LAN.It has only one mobile network communication interface(2G/3G/4G),so the network data information of the application can only be obtained by means of mobile network hijacking.For this reason,based on the way of software-defined radio and analog base station,this paper proposes a method for obtaining application data of mobile signal man-in-the-middle attacks.2.Vehicle application dynamic monitoring.The Android-based vehicle system is one of the most common systems on the market.The traditional collection of runtime information for Android applications is usually hook.However,most Android drivers have a low level of root protection,making the hook almost impossible to use.To this end,a real-machine simulation system was designed to monitor the running behavior of vehicle applications.3.vehicle machine application fuzzy test.Using the characteristics of collected vehicle application information and vehicle application network data,this paper designs and implements a fuzzy test system based on genetic algorithm,and adopts an overview model to improve the genetic algorithm and improves the effectiveness of vehicle application safety testing.