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Motyliński, M, Mac Dermott, AM, Iqbal, F, Hussain, M and Aleem, S (2020) Digital Forensic Acquisition and Analysis of Discord Applications. In: 2020 International Conference on Communications, Computing, Cybersecurity, and Informatics (CCCI) . (2020 International Conference on Communications, Computing, Cybersecurity and Informatics, 03 November 2020 - 05 November 2020, Virtual Conference).
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Digital Forensic Acquisition and Analysis of Discord Applications.pdf - Accepted Version Download (1MB) | Preview |
Abstract
Digital forensic analyses are being applied to a variety of domains as the scope and potential of digital evidence available is vast. The importance of forensic analyses of web-based devices and tools is increasing, coinciding with the rise in online criminal activity. Discord - an application that allows text, image, video, and audio communication using VoIP - has become increasingly popular and is consequently subject to increased use by cybercriminals. While researching Discord servers and forensic artefacts, it is apparent that there is limited literature and experimentation in this domain. This paper presents our research into digital forensic analyses of Discord client-side artefacts and presents DiscFor, a novel tool designed for the extraction, analysis, and presentation of Discord data in a forensically sound manner. DiscFor creates a safe copy of said data, presenting the current cache state and converting data files into a readable format.
| Item Type: | Conference or Workshop Item (Paper) |
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| Additional Information: | © 2020 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: | 16 Oct 2020 10:29 |
| Last Modified: | 12 Jun 2024 14:00 |
| DOI or ID number: | 10.1109/CCCI49893.2020.9256668 |
| URI: | https://researchonline.ljmu.ac.uk/id/eprint/13845 |
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