Forensic Analysis of Modern E-Business Applications

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ID: 313097
2024
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Abstract
In this paper, a plugin is developed a for our automated digital forensics framework to extract and preserve the evidence from the IOS-based mobile phone application, Olx. This plugin extracts personal details from Olx users, e.g, user name, mobile number, User Location, Country name, State name, City name, Last check-in attempt, Ad Images between different Olx users. While developing the plugin, we identified resources available in IOS-based devices holding key forensics artifacts. We highlighted the poor privacy scheme employed by Olx. This work has shown how the sensitive data posted in the Olx 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 Olx user without any critical credential verification. We also employed the anti-forensics method on the Olx IOS 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 Olx mobile application directories on IOS-based mobile phones.
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Authors Muhammad Usman Younus
Journal Journal of Computing & Biomedical Informatics
Year 2024
DOI
DOI not found
URL
https://jcbi.org/index.php/Main/article/view/392
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