Reaserch And Implimentation Of In-Vehicle Application Detection For Driving Scene

With the rapid development of connected car technology,connected smart cars have gradually entered the public’s vision.Drivers also gain a more colorful vehicle driving experience.Since in-vehicle applications can directly contact and exchange information with drivers,such applications have become a focus of attention for malicious attack recognition.However,due to the open nature of Android system and vehicle application developers are not sufficiently aware of the impact of driving behavior applications can impose or lack of awareness of safety development,there are some potential safety problems of domestic in-vehicle applications.Therefore,it is significant to make the rules and test the security of the domestic vehicle application program.At present,the in-vehicle application security analysis mainly follows the traditional idea of application security detection and focus on the security vulnerability analysis of in-vehicle applications,ignoring the new security problems brought by the driving environment.To solve this problem,the research work of this paper is as follows.First,through reading the safety standards and guidelines of vehicle-mounted systems and combining the visual,auditory and attentional characteristics of human body,this paper analyzes the safety of driving scenes and the on-board application functions that may have an impact on drivers.This paper introduces and makes use of the application penetration technology related to Soot,and explains the influence of some open capability on in-vehicle application.Based on the Android Auto app quality guidelines,a set of complete and scene-oriented safety rules for in-vehicle application is given.Secondly,this paper designs a testing and evaluation method of vehicle application based on the safety rules.In order to analyze the security of in-vehicle applications in the market,this paper also studies android application analysis technologies,including static detection technologies such as smali syntax structure,syntax tree and stream analysis,to confirm the rationality of the safety rules.Finally,this paper designs and realizes a set of in-vehicle application detection system for driving scene.The system carries on safety test to the current market in the vehicle application.With the development of technology,the safety rules in the system can be modified and changed.