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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
1Department of Artificial Intelligence Convergence Network, Ajou University, Suwon 16499, Korea.
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.
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.
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