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Forensic Analysis of Social Networking Applications on an Android Smartphone

机译:Android智能手机在社交网络应用中的法医分析

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Smartphone users spend a substantial amount of time in browsing, emailing, and messaging through different social networking apps. The use of social networking apps on smartphones has become a dominating part of daily lives. This momentous usage has also resulted in a huge spike in cybercrimes such as social harassing, abusive messages, vicious threats, broadcasting of suicidal actions, and live coverage of violent attacks. Many of such crimes are carried out through social networking apps; therefore, the forensic analysis of allegedly involved digital devices in crime scenes and social apps installed on them can be helpful in resolving criminal investigations. This research is aimed at performing forensic investigation of five social networking apps, i.e., Instagram, LINE, Whisper, WeChat, and Wickr on Android smart phones. The essential motivation behind the examination and tests is to find whether the data resides within the internal storage of the device or not after using these social networking apps. Data extraction and analysis are carried out using three tools, i.e., Magnet AXIOM, XRY, and Autopsy. From the results of these experiments, a considerable amount of essential data was successfully extracted from the examined smartphone. This useful data can easily be recovered by forensic analysts for future examination of any crime situation. Finally, we analyzed the tools on the basis of their ability to extract digital evidences from the device and their performance are examined with respect to NIST standards.
机译:智能手机用户通过不同的社交网络应用程序在浏览,电子邮件和消息传递时花费大量时间。在智能手机上使用社交网络应用已成为日常生活的主导部分。这种重要的使用情况也导致了社会骚扰,滥用信息,恶性威胁,自杀行为广播的巨大飙升,以及暴力攻击的现场覆盖。许多这样的罪行是通过社交网络应用进行的;因此,据称涉及犯罪场景和社交应用中的数字设备的法医分析可能有助于解决刑事调查。该研究旨在表演Android智能手机上的五个社交网络应用程序的法医调查,即Instagram,Instagram,Line,Whisper,WeChat和Wickr。检查和测试背后的基本动机是找到数据是否驻留在设备的内部存储范围内,而不是使用这些社交网络应用程序。数据提取和分析使用三个工具,即磁铁公理,XRY和尸检进行。根据这些实验的结果,从审查的智能手机中成功提取了大量的基本数据。法医分析师可以轻松恢复这种有用的数据,以便将来检查任何犯罪情况。最后,我们根据他们从设备中提取数字证据的能力来分析了工具,并对NIST标准进行了检查的性能。

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