Research Article
Auto-Parser: Android Auto and Apple CarPlay Forensics
@INPROCEEDINGS{10.1007/978-3-031-06365-7_4, author={Andrew Mahr and Robert Serafin and Cinthya Grajeda and Ibrahim Baggili}, title={Auto-Parser: Android Auto and Apple CarPlay Forensics}, proceedings={Digital Forensics and Cyber Crime. 12th EAI International Conference, ICDF2C 2021, Virtual Event, Singapore, December 6-9, 2021, Proceedings}, proceedings_a={ICDF2C}, year={2022}, month={6}, keywords={Android auto Apple CarPlay Mobile forensics Artifacts}, doi={10.1007/978-3-031-06365-7_4} }- Andrew Mahr
Robert Serafin
Cinthya Grajeda
Ibrahim Baggili
Year: 2022
Auto-Parser: Android Auto and Apple CarPlay Forensics
ICDF2C
Springer
DOI: 10.1007/978-3-031-06365-7_4
Abstract
Mobile device features like Apple CarPlay and Android Auto provide drivers safer hands-free navigation methods to use while driving. In crash investigations, understanding how these applications store data may be crucial in determining the what, when, where, who and why. By analyzing digital artifacts generated by Android Auto and Apple CarPlay, investigators can determine the last application displayed on the head unit, the application layout of the user’s home display screen, and other evidence which points to the utilization of the mobile device and its features while driving. Additionally, usage data can be found within other applications compatible with Android Auto and Apple CarPlay. In this paper, we explore the digital evidence produced by these applications and propose a proof of concept open source tool to assist investigators in automatically extracting relevant artifacts from Android Auto and Apple CarPlay as well as other day-to-day essential applications.
