These applications vary from generic social network services, to image-sharing, and video sharing, social networking services. Since the introduction of Facebook, online social networks have evolved (over the last decade) and a countless number of applications, that provide different features, have surfaced on the Internet. Keywords: Digital forensics Instagram mobile application forensics anti-forensics forensics framework plugin The outcome of this research is a plugin for our digital forensics ready framework software which could be used by law enforcement and regulatory agencies to reconstruct the digital evidence available in the Instagram mobile application directories on both Android and IOS-based mobile phones. We also employed the anti-forensics method on the Instagram Android’s application and were able to restore the application from the altered or corrupted database file, which any criminal mind can use to set up or trap someone else. This work, has shown how the sensitive data posted in the Instagram mobile application can easily be reconstructed, and how the traces, as well as the URL links of visual messages, can be used to access the privacy of any Instagram user without any critical credential verification. We highlighted the poor privacy scheme employed by Instagram. While developing the plugin, we identified resources available in both Android and IOS-based devices holding key forensics artifacts.
This plugin extracts personal details from Instagram users, e.g., name, user name, mobile number, ID, direct text or audio, video, and picture messages exchanged between different Instagram users. Email: Received: 22 September 2020 Accepted: 27 November 2020Ībstract: In this research, we developed a plugin for our automated digital forensics framework to extract and preserve the evidence from the Android and the IOS-based mobile phone application, Instagram. Muhammad Asim Mubarik 1, Zhijian Wang 1, Yunyoung Nam 2, *, Seifedine Kadry 3 and Muhammad Azam waqar 4ġCollege of Information and Computer Science, Hohai University, Nanjing, 210098, China 2Department of Computer Science and Engineering, Soonchunhyang University, Asan, 336811, Korea 3Department of Mathematics and Computer Science, Beirut Arab University, Beirut, 000000, Lebanon 4School of Business Management, NFC Institute of Engineering & Fertilizer Research, Faisalabad, 38800, Pakistan *Corresponding Author: Yunyoung Nam. Instagram Mobile Application Digital Forensics
Instagram Mobile Application Digital Forensics Computer Systems Science & Engineering DOI:10.32604/csse.2021.014472
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