Digital forensic analysis for vehicle infotainment systems based on packet fingerprinting


연구 분야: Analysis



학회: The Journal of Supercomputing


초록

With the increasing number of in-vehicle computing systems and rapid development of technologies, such as autonomous driving technology, various IoT technologies are being incorporated into vehicles. In these scenarios, a vehicle is typically connected to a smartphone or various sensors to exchange information based on wireless communication. While this is convenient for the driver, from a security standpoint, it means exposing the vehicle to a new cyberattack surface, including wireless communication attacks such as Bluetooth and Wi-Fi replay attacks, unauthorized network intrusion, and password interception. Therefore, active research on security inspection and improvement for wireless communication in vehicular environments is required. Some studies in this regard have raised security issues, but little digital forensic research has been conducted on the issues raised. Against this background, we conducted a case study based on packet fingerprinting to improve the level of security in wireless communication in a vehicular environment (i.e., in-vehicle wireless communications). Packet fingerprinting was applied to 11 in-vehicle infotainment systems. Consequently, devices and services in use were identified from wireless network packets. Images of internal storage data were acquired from three in-vehicle infotainment systems, and a file system-based analysis was performed on the images to derive digital forensic artifacts related to the packets stored in the vehicle systems. Further analysis was conducted by combining the derived artifacts with the packet fingerprinting results. Our findings contribute to evaluating and improving the security level of wireless communication in various in-vehicle infotainment system environments. In addition, various identification information and digital forensic artifacts derived from these in-vehicle infotainment systems can contribute to digital forensic investigations in vehicular wireless communications.


Author Profile
Yeonghun Shin

Department of Artificial Intelligence Convergence Network Ajou University World cup-ro 206 Suwon 16499 Republic of Korea

Romania
Author Profile
Geon Yu

Department of Artificial Intelligence Convergence Network Ajou University World cup-ro 206 Suwon 16499 Republic of Korea

Romania
Author Profile
Taeshik Shon

Department of Artificial Intelligence Convergence Network Ajou University World cup-ro 206 Suwon 16499 Republic of Korea

Romania

📄 논문 정보

발행 연도 2025년
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출판 국가 Romania
사이트 Springer
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