Outputs (58)

Machine learning and semantic analysis of in-game chat for cyber bullying (2018)
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 their impressions. In this paper, an automatic data collection system is p... Read More about Machine learning and semantic analysis of in-game chat for cyber bullying.

Mining malware command and control traces (2018)
Presentation / Conference Contribution
McLaren, P., Russell, G., & Buchanan, B. (2018). Mining malware command and control traces. In Proceedings of the SAI Computing Conference 2017. https://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, which enables the malware to respond to controller commands. The detection o... Read More about Mining malware command and control traces.

Fast Filtering of Known PNG Files Using Early File Features (2017)
Presentation / Conference Contribution
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 algorithms such as SHA256, for each image on a given media, comparing individual... Read More about Fast Filtering of Known PNG Files Using Early File Features.

Performance Evaluation of a Fragmented Secret Share System (2017)
Presentation / Conference Contribution
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/

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 as a keyless and resilient mechanism to mitigate this, but scaling through... Read More about Performance Evaluation of a Fragmented Secret Share System.

Insider threat detection using principal component analysis and self-organising map (2017)
Presentation / Conference Contribution
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/10.1145/3136825.3136

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 which can damage the employer's marketing position and reputation. In additio... Read More about Insider threat detection using principal component analysis and self-organising map.

Secret shares to protect health records in Cloud-based infrastructures (2016)
Presentation / Conference Contribution
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 & Servi

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 paper outlines a novel Cloud-based architecture (SECRET) which supports keyl... Read More about Secret shares to protect health records in Cloud-based infrastructures.

Risk assessment for mobile systems through a multilayered hierarchical Bayesian network. (2016)
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 overall security of a mobile system, it is important to assess the security... Read More about Risk assessment for mobile systems through a multilayered hierarchical Bayesian network..

RESCUE: Resilient Secret Sharing Cloud-based Architecture. (2015)
Presentation / Conference Contribution
Ukwandu, E., Buchanan, W. J., Fan, L., Russell, G., & Lo, O. (2015, August). RESCUE: Resilient Secret Sharing Cloud-based Architecture. Presented at TrustCom 2015 The 14th IEEE International Conference on Trust, Security and Privacy in Computing and Commu

This paper presents an architecture (RESCUE) of a system that is capable of implementing: a keyless encryption method; self-destruction of data within a time frame without user’s intervention; and break-glass data recovery, with in-built failover pro... Read More about RESCUE: Resilient Secret Sharing Cloud-based Architecture..

The future internet: a world of secret shares (2015)
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 paper outlines an Internet storage using secret sharing methods, and which coul... Read More about The future internet: a world of secret shares.

Real-time monitoring of privacy abuses and intrusion detection in android system (2015)
Presentation / Conference Contribution
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

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 malicious apps from 'normal' apps. We also investigated the injection technolog... Read More about Real-time monitoring of privacy abuses and intrusion detection in android system.