Performance Evaluation of a Fragmented Secret Share System
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 ...
Teaching penetration and malware analysis in a cloud-based environment.
Presentation / Conference
Buchanan, W. J., Ramsay, B., Macfarlane, R., Smales, A., & Russell, G. (2015, June)
Teaching penetration and malware analysis in a cloud-based environment. Paper presented at UK Workshop on Cybersecurity Training & Education, Liverpool
This paper outlines evaluation of running a private Cloud-based system over two semesters at Edinburgh Napier University for two modules: Security Testing and Advanced Network...
Multiple traffic signal control using a genetic algorithm
Kalganova, T., Russell, G., & Cumming, A. (1999)
Multiple traffic signal control using a genetic algorithm. In A. Dobnikar, N. C. Steele, D. W. Pearson, & R. F. Albrecht (Eds.), Artificial Neural Nets and Genetic Algorithms, 220-228. https://doi.org/10.1007/978-3-7091-6384-9_38
Optimising traffic signal timings for a multiple-junction road network is a difficult but important problem. The essential difficulty of this problem is that the traffic signa...
RESCUE: Resilient Secret Sharing Cloud-based Architecture.
Ukwandu, E., Buchanan, W. J., Fan, L., Russell, G., & Lo, O. (2015)
RESCUE: Resilient Secret Sharing Cloud-based Architecture. In 2015 IEEE Trustcom/BigDataSE/ISPA Vol. 1, (872-879). https://doi.org/10.1109/Trustcom.2015.459
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 use...
Secret shares to protect health records in Cloud-based infrastructures
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...
Security issues of a publicly accessible cloud computing infrastructure.
Russell, G., & Macfarlane, R. (2012)
Security issues of a publicly accessible cloud computing infrastructure. In Proceedings of the 11th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom-2012), 1210-1216. https://doi.org/10.1109/TrustCom.2012.259
Edinburgh Napier University runs a custom cloud computing infrastructure for both student and public use. Such access carries dangers, both reputational and legal, as accident...
Real-time monitoring of privacy abuses and intrusion detection in android system.
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...
The future internet: a world of secret shares
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...
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...
Insider threat detection using principal component analysis and self-organising map
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...