This study focuses on analyzing and comparing the forensic tools used during the research, based on defined digital evidence parameters and applying a specific mobile forensic framework. A forensic framework and several forensic tools are needed to carry out physical evidence investigation procedures. MiChat is a multi-platform instant chat service with several features that can attract various segments of the population to use it as a tool for committing cybercrimes. Instant Messaging (IM) is a popular and widely used communication application. 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. This useful data can easily be recovered by forensic analysts for future examination of any crime situation. From the results of these experiments, a considerable amount of essential data was successfully extracted from the examined smartphone. Data extraction and analysis are carried out using three tools, i.e., Magnet AXIOM, XRY, and Autopsy. 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. 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. 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 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. The use of social networking apps on smartphones has become a dominating part of daily lives. Smartphone users spend a substantial amount of time in browsing, emailing, and messaging through different social networking apps.
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