文件名称：Experimental_Security_Research_of_Tesla_Autopilot.pdf
文件大小：3.03MB
文件格式：PDF
更新时间：2023-07-24 08:55:00
特斯拉 腾讯科恩 汽车攻防 自动驾驶渗透
Keen Security Lab has maintained the security research work on Tesla vehicle and shared our research results on Black Hat USA 2017[1] and 2018[2] in a row. Based on the ROOT privilege of the APE (Tesla Autopilot ECU, software version 18.6.1), we did some further interesting research work on this module. We analyzed the CAN messaging functions of APE, and successfully got remote control of the steering system in a contact-less way. We used an improved optimization algorithm to generate adversarial examples of the features (autowipers and lane recognition) which make decisions purely based on camera data, and successfully achieved the adversarial example attack in the physical world. In addition, we also found a potential high-risk design weakness of the lane recognition when the vehicle is in Autosteer mode.