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Digital Forensic Case Studies for In-Vehicle Infotainment Systems Using Android Auto and Apple CarPlay.

Yeonghun Shin1, Sungbum Kim1, Wooyeon Jo2

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Forensic analysis of Android Auto and Apple CarPlay is crucial due to increasing data in connected vehicles. This study proposes a new methodology and tool for in-vehicle infotainment (IVI) system forensics, addressing limitations in current research.

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Area of Science:

  • Digital Forensics
  • Computer Science
  • Automotive Engineering

Background:

  • Vehicle systems and driver behavior analysis are critical forensic areas.
  • Traditional forensic research focused on event data recorders and manufacturer infotainment systems.
  • Modern vehicles increasingly use in-vehicle infotainment (IVI) systems like Android Auto and Apple CarPlay, connecting to mobile devices and external networks.

Purpose of the Study:

  • To address the growing importance of IVI system forensics, particularly for Android Auto and Apple CarPlay.
  • To identify and overcome limitations in existing forensic studies of IVI systems, especially concerning wireless connections.
  • To propose a comprehensive forensic methodology and develop a supporting tool for IVI systems.

Main Methods:

  • Analysis of existing forensic studies on Android Auto and Apple CarPlay.
  • Identification of research gaps, particularly regarding wireless IVI system connections.
  • Development of a novel forensic methodology tailored to current IVI system limitations.
  • Creation of an IVI system forensics tool based on the proposed methodology.

Main Results:

  • Existing research primarily focuses on wired USB connections for IVI systems.
  • Wireless IVI system forensics, including Android Auto and Apple CarPlay, is currently insufficient.
  • A new forensic methodology and a dedicated tool have been developed to address these gaps.

Conclusions:

  • Forensic investigation of modern in-vehicle infotainment systems is essential due to the volume and type of data stored.
  • The proposed methodology and tool enhance the forensic analysis of wireless Android Auto and Apple CarPlay connections.
  • This work contributes to advancing digital forensics in the automotive domain.