Muhammad Asim Mubarik1, Zhijian Wang1, Yunyoung Nam2,*, Seifedine Kadry3, Muhammad Azam waqar4
Computer Systems Science and Engineering, Vol.37, No.2, pp. 169-186, 2021, DOI:10.32604/csse.2021.014472
- 01 March 2021
Abstract 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… More >
Login
Register
