Safety detection and analysis of Android in-vehicle applications for driving scenarios

• 1、Beijing University of Posts and Telecommunication, Beijing 100876

Abstract：With the rapid development of mobile Internet and the popularization of in-vehicle entertainment systems, the number of in-vehicle entertainment applications has grown rapidly. More and more drivers choose to use in-vehicle software for communication and entertainment during the driving process. As a result, the application safety issues also Increasingly prominent. At present, most automobile manufacturers are using the Android system to personalize vehicle systems. However, software developers have a weak safety awareness or do not fully consider the impact of in-vehicle software on drivers when designing software functions, resulting in in-vehicle software being potentially dangerous. This article is aimed at the actual driving use scenarios of connected car applications. By expanding and modifying Google's interaction rules for android auto, and simulating possible attack methods in daily life, it analyzes the possible impact of the combined functions to form a set of actual driving scenarios. Safety regulations for automotive applications. Finally, a static detection method based on smali is proposed to provide users with a certain degree of application security reference.

Keywords： Android in-vehicle software Static analysis softwaresecurity