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Grand Theft App: Digital Forensics of Vehicle Assistant Apps

Authors:

Simon Ebbers,

Fabian Ising,

Christoph Saatjohann,

Sebastian SchinzelAuthors Info & Claims

ARES '21: Proceedings of the 16th International Conference on Availability, Reliability and Security

Article No.: 30, Pages 1 - 6

https://doi.org/10.1145/3465481.3465754

Published: 17 August 2021 Publication History

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Abstract

Due to the increasing connectivity of modern vehicles, collected data is no longer only stored in the vehicle itself but also transmitted to car manufacturers and vehicle assistant apps. This development opens up new possibilities for digital forensics in criminal investigations involving modern vehicles. This paper deals with the digital forensic analysis of vehicle assistant apps of eight car manufacturers. We reconstruct the driver’s activities based on the data stored on the smartphones and in the manufacturer’s backend.

For this purpose, data of the Android and iOS apps of the car manufacturers Audi, BMW, Ford, Mercedes, Opel, Seat, Tesla, and Volkswagen were extracted from the smartphone and examined using digital forensic methods following forensics guidelines. Additionally, manufacturer data was retrieved using Subject Access Requests. Using the extensive data gathered, we reconstruct trips and refueling processes, determine parking positions and duration, and track the locking and unlocking of the vehicle.

Our findings show that the digital forensic investigation of smartphone applications is a useful addition to vehicle forensics and should therefore be taken into account in the strategic preparation of future digital forensic investigations.

References

[1]

Council of European Union. 2015. Regulation (EU) 2015/758 of the European Parliament and of the Council.

Google Scholar

[2]

Council of European Union. 2016. Regulation (EU) 2016/679 of the European Parliament and of the Council.

Google Scholar

[3]

Bundesamt für Sicherheit in der Informationstechnik. 2011. Leitfaden ”IT-Forensik”.

Google Scholar

[4]

Binary Hick. 2019. Ridin’ With Apple CarPlay. https://thebinaryhick.blog/2019/05/08/ridin-with-apple- carplay/

Google Scholar

[5]

Joshua Hickman. 2019. Ka-Chow!!! Driving Android Auto. https://dfir.pubpub.org/pub/716tlra7/release/2

Google Scholar

[6]

Thomas Käfer. 2015. Car-Forensics : Digitale Forensik im Kontext von Fahrzeugvernetzung, eCall, KFZ-Unfalldatenschreibern und Smartphone-Kopplung. Books on Demand.

Google Scholar

[7]

Nhien-An Le-Khac, Daniel Jacobs, John Nijhoff, Karsten Bertens, and Kim-Kwang Raymond Choo. 2020. Smart vehicle forensics: Challenges and case study. Future Generation Computer Systems 109 (2020), 500–510. https://doi.org/10.1016/j.future.2018.05.081

Crossref

Google Scholar

[8]

Edmond Locard. 1930. Die Kriminaluntersuchung und ihre wissenschaftlichen Methoden. Berliner Kameradschaft.

Google Scholar

[9]

Sarah Edwards; Heather Mahalik. 2019. They See us Rollin’; They Hatin’: Forensics of iOS CarPlay and Android Auto. SANS DIFR Summit 2019.

Google Scholar

[10]

George Mohay, Alison Anderson, Byron Collie, Olivier De Vel, and Rodney McKemmish. 2003. Computer and Intrusion Forensics. Artech House.

Google Scholar

[11]

Euro NCAP. 2020. System Grading. https://www.euroncap.com/en/vehicle-safety/safety-campaigns/2020-assisted-driving-tests/gradings-explained

Google Scholar

[12]

Netscribes Inc. 2020. Projected global ADAS market size between 2015 and 2023. https://www.statista.com/statistics/591579/adas-and-ad- systems-in-light-vehicles-global-market-size/

Google Scholar

[13]

Olivia Solon. 2020. Insecure wheels: Police turn to car data to destroy suspects’ alibis. https://www.nbcnews.com/tech/tech-news/snitches-wheels- police-turn-car-data-destroy-suspects-alibis-n1251939

Google Scholar

[14]

R. Tamma, O. Skulkin, H. Mahalik, and S. Bommisetty. 2020. Practical Mobile Forensics: Forensically investigate and analyze iOS, Android, and Windows 10 devices, 4th Edition. Packt Publishing.

Google Scholar

Cited By

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Chen ZMu QLuo WYang XLi DShao XLiu YZhu H(2024)Digital Forensics for Automotive Intelligent Networked Terminal DevicesIEEE Transactions on Vehicular Technology10.1109/TVT.2023.333475473:4(5128-5138)Online publication date: Apr-2024
https://doi.org/10.1109/TVT.2023.3334754
Ganbold POh IKim YYim K(2023)Artifact Extraction Methods for In-Vehicle Infotainment SystemAdvances in Intelligent Networking and Collaborative Systems10.1007/978-3-031-40971-4_7(68-78)Online publication date: 29-Aug-2023
https://doi.org/10.1007/978-3-031-40971-4_7
Shin YKim SJo WShon T(2022)Digital Forensic Case Studies for In-Vehicle Infotainment Systems Using Android Auto and Apple CarPlaySensors10.3390/s2219719622:19(7196)Online publication date: 22-Sep-2022
https://doi.org/10.3390/s22197196
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Published In

ARES '21: Proceedings of the 16th International Conference on Availability, Reliability and Security

August 2021

1447 pages

ISBN:9781450390514

DOI:10.1145/3465481

Publication rights licensed to ACM. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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Association for Computing Machinery

New York, NY, United States

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Published: 17 August 2021

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ARES 2021

ARES 2021: The 16th International Conference on Availability, Reliability and Security

August 17 - 20, 2021

Vienna, Austria

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Overall Acceptance Rate 228 of 451 submissions, 51%

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Chen ZMu QLuo WYang XLi DShao XLiu YZhu H(2024)Digital Forensics for Automotive Intelligent Networked Terminal DevicesIEEE Transactions on Vehicular Technology10.1109/TVT.2023.333475473:4(5128-5138)Online publication date: Apr-2024
https://doi.org/10.1109/TVT.2023.3334754
Ganbold POh IKim YYim K(2023)Artifact Extraction Methods for In-Vehicle Infotainment SystemAdvances in Intelligent Networking and Collaborative Systems10.1007/978-3-031-40971-4_7(68-78)Online publication date: 29-Aug-2023
https://doi.org/10.1007/978-3-031-40971-4_7
Shin YKim SJo WShon T(2022)Digital Forensic Case Studies for In-Vehicle Infotainment Systems Using Android Auto and Apple CarPlaySensors10.3390/s2219719622:19(7196)Online publication date: 22-Sep-2022
https://doi.org/10.3390/s22197196
Lee JKim JSeong HLee KCho SPark YPark M(2022)Forensic Analysis of Apple CarPlay: A Case StudyMobile Internet Security10.1007/978-981-16-9576-6_20(289-300)Online publication date: 22-Jan-2022
https://doi.org/10.1007/978-981-16-9576-6_20
Mahr ASerafin RGrajeda CBaggili I(2022)Auto-Parser: Android Auto and Apple CarPlay ForensicsDigital Forensics and Cyber Crime10.1007/978-3-031-06365-7_4(52-71)Online publication date: 4-Jun-2022
https://doi.org/10.1007/978-3-031-06365-7_4

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Forensic taxonomy of android productivity apps

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