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Iqbal, F, Motylinski, M and Mac Dermott, AM (2021) Discord Server Forensics: Analysis and Extraction of Digital Evidence. In: 2021 11th IFIP International Conference on New Technologies, Mobility and Security (NTMS) . (Cybercrime Investigation and Digital Forensics Workshop. 11th IFIP International Conference on New Technologies, Mobility and Security, Paris, France, 19 April 2021 - 21 April 2021, Paris, France).
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Discord Server Forensics Analysis and Extraction of Digital Evidence.pdf - Accepted Version Download (1MB) | Preview |
Abstract
In recent years we can observe that digital forensics is being applied to a variety of domains as nearly any data can become valuable forensic evidence. The sheer scope of web-based investigations provides a vast amount of information. Due to a rapid increase in the number of cybercrimes the importance of application-specific forensics is greater than ever. Criminals use the application not only to communicate but also to facilitate crimes. It came to our attention that the gaming chat application Discord is one of them. Discord allows its users to send text messages as well as exchange image, video, and audio files. While Discord’s community is not as large as that of the most popular messaging apps the stable growth of its userbase and recent incidents indicate that it is used by criminals. This paper presents our research into the digital forensic analysis of Discord client-side artefacts and presents experimental development of a tool for extraction, analysis, and presentation of the data from Discord application. The work then proposes a solution in form of a tool, ‘DiscFor’, that can retrieve information from the application’s local files and cache storage.
| Item Type: | Conference or Workshop Item (Paper) |
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| Additional Information: | © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | Computer Science & Mathematics |
| Publisher: | IEEE |
| Date Deposited: | 20 Apr 2021 11:38 |
| Last Modified: | 30 May 2024 09:48 |
| DOI or ID number: | 10.1109/NTMS49979.2021.9432654 |
| URI: | https://researchonline.ljmu.ac.uk/id/eprint/14832 |
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