PLC Memory Attack Detection and Response in a Clean Water Supply System
Journal Article
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 ...
Deriving ChaCha20 Key Streams From Targeted Memory Analysis
Journal Article
McLaren, P., Buchanan, W. J., Russell, G., & Tan, Z. (2019)
Deriving ChaCha20 Key Streams From Targeted Memory Analysis. Journal of Information Security and Applications, 48, https://doi.org/10.1016/j.jisa.2019.102372
There can be performance and vulnerability concerns with block ciphers, thus stream ciphers can used as an alternative. Although many symmetric key stream ciphers are fairly r...
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...
Design and Evaluation of Memory Efficient Data Structure Scheme for Energy Drainage Attacks in Wireless Sensor Networks
Journal Article
Bhatti, D. S., Saleem, S., Ali, Z., Park, T., Suh, B., Kamran, A., …Kim, K. (2024)
Design and Evaluation of Memory Efficient Data Structure Scheme for Energy Drainage Attacks in Wireless Sensor Networks. IEEE Access, 12, 41499-41516. https://doi.org/10.1109/access.2024.3377144
Wireless Sensor Networks (WSN) are deployed on a large scale and require protection from malicious energy drainage attacks, particularly those directed at the routing layer. T...
Simulation of three-dimensional finite-difference time-domain method on limited memory systems.
Conference Proceeding
Buchanan, W. J. & Gupta, N. K. (1990)
Simulation of three-dimensional finite-difference time-domain method on limited memory systems
The authors discuss techniques in the modelling of electromagnetic fields using finite difference time domain (FDTD) methods applied to 80×86-based PCs or limited memory compu...
Decrypting Live SSH Traffic in Virtual Environments
Journal Article
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...
Towards simulation of patient data for evaluation of E-health platform and services.
Presentation / Conference
Lo, O., Fan, L., Buchanan, W. J., Thuemmler, C., & Lawson, A. (2012, June)
Towards simulation of patient data for evaluation of E-health platform and services. Paper presented at 13th Annual Post Graduate Symposium on the Convergence of Telecommunications, Networking and Broadcasting, Liverpool
This paper presents the design and implementation of the Patient Simulator, a software application used for the simulation of patient data. The simulator aims to evaluate e- H...
Privacy-preserving Surveillance Methods using Homomorphic Encryption
Conference Proceeding
Bowditch, W., Abramson, W., Buchanan, W. J., Pitropakis, N., & Hall, A. J. (2020)
Privacy-preserving Surveillance Methods using Homomorphic Encryption. In ICISSP: Proceedings of the 6th International Conference on Information Systems Security and Privacy. , (240-248). https://doi.org/10.5220/0008864902400248
Data analysis and machine learning methods often involve the processing of cleartext data, and where this could breach the rights to privacy. Increasingly, we must use encrypt...
Deep Learning and Dempster-Shafer Theory Based Insider Threat Detection
Journal Article
Tian, Z., Shi, W., Tan, Z., Qiu, J., Sun, Y., Jiang, F., & Liu, Y. (in press)
Deep Learning and Dempster-Shafer Theory Based Insider Threat Detection. Mobile Networks and Applications, https://doi.org/10.1007/s11036-020-01656-7
Organizations' own personnel now have a greater ability than ever before to misuse their access to critical organizational assets. Insider threat detection is a key component ...
A Deep Learning-Based Intrusion Detection System for MQTT Enabled IoT
Journal Article
Almas Khan, M., Khan, M. A., Ullah Jan, S., Ahmad, J., Jamal, S. S., Shah, A. A., …Markakis, E. K. (2021)
A Deep Learning-Based Intrusion Detection System for MQTT Enabled IoT. Sensors, 21(21), Article 7016. https://doi.org/10.3390/s21217016
A large number of smart devices in Internet of Things (IoT) environments communicate via different messaging protocols. Message Queuing Telemetry Transport (MQTT) is a widely ...