一种有效的汽车取证技术,利用基于android的车载信息娱乐系统的各种日志

IF 2.2 4区 医学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Sunjae Kim , Jeehun Jung , Haein Kang , Yejin Yoon , Seong-je Cho , Minkyu Park , Sangchul Han
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引用次数: 0

摘要

基于android的车载信息娱乐(IVI)系统生成日志消息,其中包含与内部或外部设备交互的有价值的取证工件。这些日志信息有助于交通事故或刑事调查;然而,对存储的信息和访问它们的方法的了解有限。此外,流行的取证工具Berla's iVe不支持基于android的IVI系统的数字取证分析。为了解决这一问题,我们首先采用一种实用的非侵入性方法,从3套jellybean系统(2017-2019)和2套kitkat IVI系统(2022-2023)中获取了多种类型的测井数据,然后对IVI系统的测井机制进行了全面的对比分析。然后,我们从车辆取证的角度检查从IVI系统获得的易失性和非易失性日志数据。jellybean系统为易失日志维护7个环缓冲区,而kitkat系统使用5个环缓冲区。系统下电后,易失性日志将被清除。两个版本的Android系统都存储七种不同类型的非易失性日志文件,数据保留时间长达一年。我们对获取的日志进行了彻底的分析,发现了与导航使用、无线电监听、发动机启动/停止、车门访问、安全带使用和蓝牙连接(包括电话和短信)相关的工件。此外,我们比较了那些IVI系统中确定的工件。最后,我们的分析创建了一个时间轴来跟踪驾驶员的行为,并提供了对驾驶员行为和车辆事件的关键见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An effective automotive forensic technique utilizing various logs of Android-based In-vehicle infotainment systems
Android-based In-vehicle infotainment (IVI) systems generate log message containing valuable forensic artifacts from interactions with internal or external devices. These log messages can help in vehicle accidents or criminal investigations; however, there is limited knowledge of the stored information and the methods of accessing them. In addition, digital forensic analysis of the Android-based IVI systems is not supported by the popular forensic tool, Berla's iVe. To address this, we first acquire multiple types of logs from three Jellybean-based systems (2017-2019) and two KitKat-based IVI systems (2022-2023) using a practical and non-invasive method, and then perform a comprehensive and comparative analysis of the logging mechanisms in the IVI systems. We then examine volatile and nonvolatile log data acquired from the IVI systems from the perspective of vehicle forensics. Jellybean-based systems maintain seven ring buffers for volatile logs, while KitKat-based systems use five. Volatile logs are erased when the system is powered off. Both versions of the Android systems store nonvolatile log files of seven different types, with data retained for up to a year. We conducted a thorough analysis of the acquired logs, uncovering artifacts related to navigation use, radio listening, engine start/stop, door access, seat belt use, and Bluetooth connections, including phone calls and SMS messages. In addition, we compare the artifacts identified within those IVI systems. Finally, our analysis creates a timeline to track driver behavior, and provides critical insights into driver actions and vehicle events.
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来源期刊
CiteScore
5.90
自引率
15.00%
发文量
87
审稿时长
76 days
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