A Digital Forensic Framework for Vehicle Infotainment Systems
- 주제(키워드) Digital Forensics , Vehicle Infotainment Systems , Network Traffic Analysis , Timeline Reconstruction , Forensic Framework
- 주제(DDC) 004.6
- 발행기관 아주대학교 일반대학원
- 지도교수 Taeshik Shon
- 발행년도 2025
- 학위수여년월 2025. 8
- 학위명 박사
- 학과 및 전공 일반대학원 AI융합네트워크학과
- 실제URI http://www.dcollection.net/handler/ajou/000000034817
- 본문언어 영어
- 저작권 아주대학교 논문은 저작권에 의해 보호받습니다.
초록/요약
As in-vehicle infotainment (IVI) systems evolve into increasingly complex and interconnected platforms, they have emerged as critical sources of digital evidence in forensic investigations. These systems mediate communications, services, and user interactions across smartphones, vehicle head units, and cloud infrastructures, yet their forensic analysis remains challenging due to the distributed nature of data, heterogeneous artifact sources, and the lack of standardized methodologies. This dissertation proposes Vehicle Timeline-based Reconstruction and Artifact Correlation Evidence (V-TRACE), a comprehensive and platform-agnostic forensic framework designed for IVI environments. The framework introduces a timeline-based methodology that systematically integrates endpoint and network artifacts to reconstruct user behavior and system interactions across connected devices. Key artifacts include Bluetooth pairing data, system configuration settings, application activity logs, Wi-Fi profiles, vehicle connection records, contact information, and captured network packets. These artifacts are temporally aligned to generate coherent timelines of events such as Bluetooth pairings, session initiations, application launches, network connections, and user actions. To support practical forensic investigations, an interactive dashboard was developed, providing intuitive visualizations, artifact inspection, event filtering, and cross-referencing capabilities. This tool enables investigators to efficiently explore multi-source evidence and reconstruct interaction sequences within IVI environments. While Android Auto was selected as the primary validation environment due to its accessibility and reproducibility, V-TRACE is explicitly designed to operate across diverse IVI platforms, including Apple CarPlay and proprietary OEM systems. This research contributes a scalable, structured methodology for IVI forensics and lays the groundwork for future investigative tools and standards in smart mobility and automotive cybersecurity.
more목차
Chapter 1 Introduction 1
1.1 Background and Motivation 1
1.2 Research Objectives 4
1.3 Scope and Limitations 5
1.4 Contributions of the Study 6
1.5 Thesis Structure 7
Chapter 2 Forensic Methodology for Vehicle Infotainment Systems 8
2.1 Forensic Requirements in Automotive Environments 9
2.2 Existing Research in Vehicle Forensics 11
2.3 Challenges in Forensic Analysis 17
Chapter 3 The V-TRACE Framework for Integrated IVI Forensics 20
3.1 Data Acquisition 21
3.2 Artifact Analysis 22
3.3 Automotive Integration 73
3.4 Timeline Reconstruction 82
3.5 Visualization and Interactive Forensic Analysis 87
Chapter 4 Conclusion 90
4.1 Closing remarks 92
Chapter 5 Bibliography 93
