Instagram Mobile Application Digital Forensics

  • Mubarik, Muhammad Asim
  • Wang, Zhijian
  • Nam, Yunyoung
  • Kadry, Seifedine
  • waqar, Muhammad Azam
Citations

WEB OF SCIENCE

2

초록

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. 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. While developing the plugin, we identified resources available in both Android and IOS-based devices holding key forensics artifacts. We highlighted the poor privacy scheme employed by Instagram. 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 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. 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.

키워드

Digital forensicsInstagrammobile application forensicsanti-forensicsforensics framework plugin
제목
Instagram Mobile Application Digital Forensics
저자
Mubarik, Muhammad AsimWang, ZhijianNam, YunyoungKadry, Seifedinewaqar, Muhammad Azam
DOI
10.32604/csse.2021.014472
발행일
2021-09
유형
Article
저널명
Computer Systems Science and Engineering
37
2
페이지
169 ~ 186