Department of Artificial Intelligence Convergence Network, Ajou University, Suwon 16499, Korea.
Department of Computer Science, Virginia Commonwealth University, Richmond, VA 23221, USA.
Sensors (Basel). 2022 Sep 22;22(19):7196. doi: 10.3390/s22197196.
Vehicle systems have been one of the fastest-growing fields in recent years. Vehicles are extremely helpful for understanding driver behaviors and have received significant attention from a forensic perspective. Extensive forensic research was previously conducted on on-board vehicle systems, such as an event data recorders, located in the electronic control unit or manufacturer-based infotainment systems. However, unlike previous vehicles that used only manufacturer-based infotainment systems, most vehicles today are equipped with infotainment systems such as Android Auto and Apple CarPlay. These in-vehicle infotainment (IVI) systems connect to mobile devices such as smartphones and tablets. The vehicle can periodically communicate with a smartphone and thus a network outside the vehicle. Drivers can use more services in their vehicles than ever before. Accordingly, an increasing number of diverse data are being stored in vehicles, with mobile devices connected to both the vehicle and the cloud. Such data include information that can be of significant help to investigators in solving problems during forensic investigations. Therefore, forensics of IVI systems such as Android Auto and Apple CarPlay are becoming increasingly important. We analyzed various forensic studies conducted on Android Auto and Apple CarPlay. Most of the research was mainly focused on mobile devices connected through a wired USB connection. The use of wireless-based IVI systems has recently been increasing. However, the analysis of Android Auto and Apple CarPlay from this point of view is insufficient. Therefore, we proposed a forensic methodology that fully considers such limitations. A forensic analysis was conducted on various IVI systems. We also developed an IVI system forensics tool that works based on the proposed methodology.
车辆系统是近年来发展最快的领域之一。车辆对于理解驾驶员行为非常有帮助,并且从法医学的角度受到了极大的关注。以前,对车载车辆系统进行了广泛的法医研究,例如位于电子控制单元中的事件数据记录器或制造商的信息娱乐系统。但是,与以前仅使用制造商的信息娱乐系统的车辆不同,当今大多数车辆都配备了信息娱乐系统,例如 Android Auto 和 Apple CarPlay。这些车载信息娱乐(IVI)系统连接到智能手机和平板电脑等移动设备。车辆可以定期与智能手机进行通信,从而与车辆外部的网络进行通信。驾驶员现在可以在车辆中使用比以往更多的服务。因此,越来越多的不同类型的数据存储在车辆中,与车辆和云连接的移动设备。这些数据包括在法医调查中可以为调查人员解决问题提供重要帮助的信息。因此,对 Android Auto 和 Apple CarPlay 等 IVI 系统的取证变得越来越重要。我们分析了对 Android Auto 和 Apple CarPlay 进行的各种法医研究。大多数研究主要集中在通过有线 USB 连接连接的移动设备上。最近,基于无线的 IVI 系统的使用正在增加。但是,从这个角度对 Android Auto 和 Apple CarPlay 的分析还不够。因此,我们提出了一种充分考虑到这些局限性的取证方法。对各种 IVI 系统进行了法医分析。我们还根据提出的方法开发了一种 IVI 系统取证工具。