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Digital Forensics Investigation of the Tesla Autopilot File System

Authors:
Kevin Gomez Buquerin
Hans-Joachim Hof

Keywords: automotive, vehicle, digital forensics, automotive digital forensics, tesla, autopilot, metadata, vehicle forensics

Abstract:
Tesla vehicles offer a wide range of services, including an autopilot. As a central vehicle component, the autopilot has been the focus of much media and research attention. Several articles have highlighted flaws in the autopilot service. These flaws make the autopilot service relevant for Automotive Digital Forensics (ADF) investigations since vehicle automation is likely to cause accidents. This paper presents an ADF investigation of the file system of a Tesla autopilot hardware version 2.0. We identified metadata characteristics, including general information (such as Linux user accounts, extensions, and timestamps) and vehicle-specific characteristics (including surveillance and safety-related information that is of great use in investigations of modern vehicles). The paper evaluates the forensic reliability of memory acquisition and the usability of the identified features.

Pages: 82 to 87

Copyright: Copyright (c) IARIA, 2022

Publication date: October 16, 2022

Published in: conference

ISSN: 2162-2116

ISBN: 978-1-68558-007-0

Location: Lisbon, Portugal

Dates: from October 16, 2022 to October 20, 2022