Gordon Russell

Gordon Russell

Dr Gordon Russell

Associate Professor

Biography

Gordon is currently the academic theme lead of the Cyber Security and Networks group, which has a successful portfolio of undergraduate and postgraduate programmes and around 15 staff. His current research interests focus on Cryptography, Digital Forensics and Cyber Security.
He has led the development of the GCHQ certified MSc Advanced Security and Digital Forensics, including introducing new modes of study including distance learning.  Along with this Gordon led the development of the MSc Advanced Security and Cybercrime, which provides distance learning opportunities for postgraduate studies.
Gordon has also helped develop The Cyber Academy, which aims to disseminate cyber intelligence at both a national and international level, with current links in Europe to law enforcement, and is currently an external examiner at the University of Northumbria.
Gordon has a strong international reputation, which has been built on innovative teaching and virtualization environments, such as LinuxZoo. His current research work investigates decrypting messages using keys extracted from active virtual machines, forensic triage techniques to improve the speed of forensics analysis, and detecting cyber attacks on industrial systems including public water supplies.

News

Events

Esteem

Advisory panels and expert committees or witness

  • Member of the Technical Expert Group for Cyber Security apprenticeships

 

External Examining/Validations

  • External Examiner at Bedfordshire University
  • External Examiner at Northumbria University

 

Date


49 results

Secret shares to protect health records in Cloud-based infrastructures

Conference Proceeding
Buchanan, W. J., Ukwandu, E., van Deursen, N., Fan, L., Russell, G., Lo, O., & Thuemmler, C. (2016)
Secret shares to protect health records in Cloud-based infrastructures. In 2015 17th International Conference on E-health Networking, Application & Services (HealthCom)https://doi.org/10.1109/HealthCom.2015.7454589
Increasingly health records are stored in cloud-based systems, and often protected by a private key. Unfortunately the loss of this key can cause large-scale data loss. This p...

The future internet: a world of secret shares

Journal Article
Buchanan, W. J., Lanc, D., Ukwandu, E., Fan, L., Russell, G., & Lo, O. (2015)
The future internet: a world of secret shares. Future Internet, 7(4), 445-464. https://doi.org/10.3390/fi7040445
The PKI infrastructure is crumbling, especially due to the lack of a strong understanding of how encryption actually works, and in threats around its implementation. This pape...

Risk assessment for mobile systems through a multilayered hierarchical Bayesian network.

Journal Article
Li, S., Tryfonas, T., Russell, G., & Andriotis, P. (2016)
Risk assessment for mobile systems through a multilayered hierarchical Bayesian network. IEEE Transactions on Cybernetics, 46(8), 1749-1759. https://doi.org/10.1109/TCYB.2016.2537649
Mobile systems are facing a number of application vulnerabilities that can be combined together and utilized to penetrate systems with devastating impact. When assessing the o...

Mining malware command and control traces

Conference Proceeding
McLaren, P., Russell, G., & Buchanan, B. (2018)
Mining malware command and control traces. In Proceedings of the SAI Computing Conference 2017https://doi.org/10.1109/SAI.2017.8252185
Detecting botnets and advanced persistent threats is a major challenge for network administrators. An important component of such malware is the command and control channel, w...

Fast Filtering of Known PNG Files Using Early File Features

Conference Proceeding
McKeown, S., Russell, G., & Leimich, P. (2017)
Fast Filtering of Known PNG Files Using Early File Features. In Proceedings of the Conference on Digital Forensics, Security and Law
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...

Performance Evaluation of a Fragmented Secret Share System

Conference Proceeding
Ukwandu, E., Buchanan, W. J., & Russell, G. (2017)
Performance Evaluation of a Fragmented Secret Share System. In Proceedings of the International Conference on Cyber Situational Awareness, Data Analytics and Assessment (Cyber SA 2017)https://doi.org/10.1109/cybersa.2017.8073396
There are many risks in moving data into public storage environments, along with an increasing threat around large-scale data leakage. Secret sharing scheme has been proposed ...

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...

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...

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...

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