Forensic investigation of cross platform massively multiplayer online games: Minecraft as a case study

A holistic digital forensic analysis of Discord - Storage, memory, and network perspectives

In the last decade, the market share and user base of social media applications have witnessed significant growth. However, this surge in popularity has inadvertently drawn the attention of criminals aiming to exploit these platforms for illicit activities. The forensic examination of these applications emerges as a pivotal avenue for uncovering valuable insights into criminal behavior and identifying suspects. Discord, a social media platform, has become a significant focal point for such illicit activities. In this paper, we examine the remnants of Discord on both Windows and Linux operating systems, employing storage, memory, and network analysis techniques to review the remnants of Discord. Our investigation reveals a range of crucial artifacts that have been successfully recovered across all three areas of analysis, including login and payment details, chat history, account information, and much more. Collectively, these artifacts constitute a valuable resource for forensic investigations, allowing the reconstruction of most of the user's activity.

Choose your own murder: Non-linear narratives enhance student understanding in forensic science education

Higher education teaching in the forensic sciences tends to follow a traditional format of lectures followed by practical laboratory sessions. Sometimes this approach is not possible or viewed as not innovative enough. The free, open access software Twine was used with final year undergraduates in forensic and crime scene science in a UK university in order to create an interactive learning experience based around the creation of non-linear stories. Evaluation of this approach demonstrated the positive impact on student understanding when compared to the traditional lecture model. Students found the experience engaging and were keen to use Twine again.