Digital Forensics for Automotive Intelligent Networked Terminal Devices
Zigang Chen, Qinyu Mu, Wenjun Luo, Xingchun Yang, D.F. Li, Xin Shao, Yuhong Liu, Haihua Zhu
Abstract
With the frequent occurrence of automobile-related incidents, automobile forensics has gradually become a hot spot of concern. Due to the development of intelligent connected vehicles, drivers can drive the car directly through human manipulation or driver assistance systems. These factors have led to significant challenges in digital forensics and liability determination of automobile accidents. In addition, the terminal devices of intelligent connected vehicles have various memory chips, which record the vehicle's data during driving, making it possible to explore digital forensics and even realistically restore the truth of the accident in intelligent networked vehicles. In this work, we analyzed the working mechanism of intelligent connected vehicles and proposed a digital forensic model of automotive intelligent networked terminal devices. Based on this model, we give two sets of forensic cases applied to the T-Box and discuss the model's applicability and validity. We hope that our proposed forensic investigation model will be of some help for future automotive forensic investigations.