Fingerprinting JPEGs With Optimised Huffman Tables
McKeown, S., Russell, G., & Leimich, P. (2018)
Fingerprinting JPEGs With Optimised Huffman Tables. Journal of Digital Forensics, Security and Law, 13(2), https://doi.org/10.15394/jdfsl.2018.1451
A common task in digital forensics investigations is to identify known contraband images. This is typically achieved by calculating a cryptographic digest, using hashing algor...
Machine learning and semantic analysis of in-game chat for cyber bullying
Murnion, S., Buchanan, W. J., Smales, A., & Russell, G. (2018)
Machine learning and semantic analysis of in-game chat for cyber bullying. Computers and Security, 76, 197-213. https://doi.org/10.1016/j.cose.2018.02.016
One major problem with cyberbullying research is the lack of data, since researchers are traditionally forced to rely on survey data where victims and perpetrators self-report...
PLC Memory Attack Detection and Response in a Clean Water Supply System
Robles-Durazno, A., Moradpoor, N., McWhinnie, J., Russell, G., & Maneru-Marin, I. (2019)
PLC Memory Attack Detection and Response in a Clean Water Supply System. International Journal of Critical Infrastructure Protection, 26, https://doi.org/10.1016/j.ijcip.2019.05.003
Industrial Control Systems (ICS) are frequently used in manufacturing and critical infrastructures like water treatment, chemical plants, and transportation schemes. Citizens ...
Decrypting Live SSH Traffic in Virtual Environments
Mclaren, P., Russell, G., Buchanan, W. J., & Tan, Z. (2019)
Decrypting Live SSH Traffic in Virtual Environments. Digital Investigation, 29, 109-117. https://doi.org/10.1016/j.diin.2019.03.010
Decrypting and inspecting encrypted malicious communications may assist crime detection and prevention. Access to client or server memory enables the discovery of artefacts re...