Insider threat detection using principal component analysis and self-organising map
Conference Proceeding
Moradpoor, N., Brown, M., & Russell, G. (2017)
Insider threat detection using principal component analysis and self-organising map. In 10th International Conference on Security of Information and Networks (SIN 2017)https://doi.org/10.1145/3136825.3136859
An insider threat can take on many aspects. Some employees abuse their positions of trust by disrupting normal operations, while others export valuable or confidential data wh...
Fingerprinting JPEGs With Optimised Huffman Tables
Journal Article
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...
Real-time monitoring of privacy abuses and intrusion detection in android system.
Conference Proceeding
Li, S., Chen, J., Spyridopoulos, T., Andriotis, P., Ludwiniak, R., & Russell, G. (2015)
Real-time monitoring of privacy abuses and intrusion detection in android system. In Human Aspects of Information Security, Privacy, and Trust, (379-390). https://doi.org/10.1007/978-3-319-20376-8_34
In this paper, we investigated the definition of privacy, privacy abuse behaviours, and the privacy abuse in Android systems, which may be very useful for identifying the mali...
Machine learning and semantic analysis of in-game chat for cyber bullying
Journal Article
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...
Sub-file Hashing Strategies for Fast Contraband Detection
Conference Proceeding
McKeown, S., Russell, G., & Leimich, P. (2018)
Sub-file Hashing Strategies for Fast Contraband Detection. In 2018 International Conference on Cyber Security and Protection of Digital Services (Cyber Security)https://doi.org/10.1109/CyberSecPODS.2018.8560680
Traditional digital forensics processes do not scale well with the huge quantities of data present in a modern investigation, resulting in large investigative backlogs for man...
Reducing the Impact of Network Bottlenecks on Remote Contraband Detection
Conference Proceeding
McKeown, S., Russell, G., & Leimich, P. (2018)
Reducing the Impact of Network Bottlenecks on Remote Contraband Detection. In 2018 International Conference on Cyber Security and Protection of Digital Services (Cyber Security)https://doi.org/10.1109/CyberSecPODS.2018.8560671
Cloud based storage is increasing in popularity, with
large volumes of data being stored remotely. Digital forensics
investigators examining such systems remotely are limited ...
Architectures for persistence
Journal Article
Russell, G., & Cockshott, W. P. (1993)
Architectures for persistence. Microprocessors and Microsystems, 17(3), 117-130. https://doi.org/10.1016/0141-9331%2893%2990042-6
Persistent object oriented architectures have been researched for many years, deriving initially from the Manchester University Atlas machine. In reality, however, few actual ...
A methodology for composing well-defined character descriptions.
Report
Paterson, T., Cannon, A., Raguenaud, C., Russell, G., Armstrong, K. E., MacDonald, S. M., …Kennedy, J. (2003)
A methodology for composing well-defined character descriptions
Taxonomy has been described as “the science of documenting biodiversity”, which involves collecting, naming, describing, identifying and classifying specimens of organisms (Ke...
Implementation and Detection of Novel Attacks to the PLC Memory on a Clean Water Supply System
Conference Proceeding
Robles-Durazno, A., Moradpoor, N., McWhinnie, J., Russell, G., & Maneru-Marin, I. (2019)
Implementation and Detection of Novel Attacks to the PLC Memory on a Clean Water Supply System. In CITT 2018, (91-103). https://doi.org/10.1007/978-3-030-05532-5_7
Critical infrastructures such as nuclear plants or water supply systems are mainly managed through electronic control systems. Such systems comprise of a number of elements, s...
A supervised energy monitoring-based machine learning approach for anomaly detection in a clean water supply system
Conference Proceeding
Robles-Durazno, A., Moradpoor, N., McWhinnie, J., & Russell, G. (2018)
A supervised energy monitoring-based machine learning approach for anomaly detection in a clean water supply system. In Proceedings of the IEEE International Conference on Cyber Security and Protection of Digital Services (Cyber Security 2018)https://doi.org/10.1109/CyberSecPODS.2018.8560683
Industrial Control Systems are part of our daily life in industries such as transportation, water, gas, oil, smart cities, and telecommunications. Technological development ov...