Digital Forensic Acquisition and Analysis of Discord Applications

Document Type

Conference Proceeding

Source of Publication

Proceedings of the 2020 IEEE International Conference on Communications, Computing, Cybersecurity, and Informatics, CCCI 2020

Publication Date

11-3-2020

Abstract

© 2020 IEEE. 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.

ISBN

9781728120355

Publisher

IEEE

Last Page

7

Disciplines

Computer Sciences

Keywords

Cache Analysis, Data Recovery, Digital Forensics, Discord, Forensic Analysis, Instant Messaging, VoIP

Scopus ID

85097848835

Indexed in Scopus

yes

Open Access

yes

Open Access Type

Green: A manuscript of this publication is openly available in a repository

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