Digital Forensics Triage App for Android

Jannik Neth, Marko Schuba, Karsten Brodkorb, Georg Neugebauer, T. Hoener, Sacha Hack
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Abstract

Digital forensics of smartphones is of utmost importance in many criminal cases. As modern smartphones store chats, photos, videos etc. that can be relevant for investigations and as they can have storage capacities of hundreds of gigabytes, they are a primary target for forensic investigators. However, it is exactly this large amount of data that is causing problems: extracting and examining the data from multiple phones seized in the context of a case is taking more and more time. This bears the risk of wasting a lot of time with irrelevant phones while there is not enough time left to analyze a phone which is worth examination. Forensic triage can help in this case: Such a triage is a preselection step based on a subset of data and is performed before fully extracting all the data from the smartphone. Triage can accelerate subsequent investigations and is especially useful in cases where time is essential. The aim of this paper is to determine which and how much data from an Android smartphone can be made directly accessible to the forensic investigator – without tedious investigations. For this purpose, an app has been developed that can be used with extremely limited storage of data in the handset and which outputs the extracted data immediately to the forensic workstation in a human- and machine-readable format.
数字取证分类应用程序为Android
智能手机的数字取证在许多刑事案件中至关重要。由于现代智能手机可以存储与调查相关的聊天记录、照片、视频等,而且它们的存储容量可以达到数百gb,因此它们是法医调查人员的主要目标。然而,正是如此庞大的数据量引发了问题:从一起案件中查获的多部手机中提取和检查数据需要花费越来越多的时间。这样做的风险是浪费大量的时间在不相关的手机上,而没有足够的时间来分析值得检查的手机。在这种情况下,法医分类可以提供帮助:这种分类是基于数据子集的预选步骤,在从智能手机中完全提取所有数据之前执行。分诊可以加快后续调查,在时间紧迫的情况下尤其有用。本文的目的是确定哪些以及有多少来自Android智能手机的数据可以直接提供给法医调查员,而无需繁琐的调查。为此,已经开发了一款应用程序,可以在手机上使用极其有限的数据存储,并将提取的数据立即以人类和机器可读的格式输出到法医工作站。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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