Supervisor(s): Ryan Ko, David Gaul, Omar Jarkas

Cyber crime is on the rise, with scams alone causing a global loss of twice the GDP of the United Arab Emirates in 2024. Within this project, we employ novel automated approaches to identify, collect, analyse and present evidence against cyber crime. In doing this, we develop a first-of-its-kind framework that assists law enforcement with attributing cryptocurrency crime.

Supervisor(s): Ben Schenk, Julia Drugova, Thilina Halloluwa, Mashhuda Glencross, Jason Weigel

CyberBattles is an interactive attack/defence capture the flag platform facilitating learning through hands-on experience. Targeted at educators, students, and cyber-enthusiasts alike, CyberBattles provides a unique CTF experience for all skill levels. With team vs. team functionality and post-match reviewing, CyberBattles stands alone in the landscape of gamified cybersecurity platforms.

Supervisor(s): Dan Kim

This project visualises the effect of training data augmentation on deepfake detection algorithms using explainable AI (XAI) techniques.