14 citations · 50 across the 11 of their papers we have counts for
13 papers
A Novel Contrastive Loss for Zero-Day Network Intrusion Detection
Jack Wilkie, Hanan Hindy, Craig Michie +3
Machine learning has achieved state-of-the-art results in network intrusion detection; however, its performance significantly degrades when confronted by a new attack class -- a ze…
Coherent Load Profile Synthesis with Conditional Diffusion for LV Distribution Network Scenario Generation
Alistair Brash, Junyi Lu, Bruce Stephen +5
Limited visibility of distribution network power flows at the low voltage level presents challenges to both distribution network operators from a planning perspective and distribut…
Signal-Based Malware Classification Using 1D CNNs
Jack Wilkie, Hanan Hindy, Ivan Andonovic +2
Malware classification is a contemporary and ongoing challenge in cyber-security: modern obfuscation techniques are able to evade traditional static analysis, while dynamic analysi…
Non-invasive Diver Respiration Rate Monitoring in Hyperbaric Lifeboat Environments using Short-Range Radar
Mikolaj Czerkawski, Fraser Stewart, Christos Ilioudis +8
The monitoring of diver health during emergency events is crucial to ensuring the safety of personnel. A non-invasive system continuously providing a measure of the respiration rat…
A Novel Micro-Doppler Coherence Loss for Deep Learning Radar Applications
Mikolaj Czerkawski, Christos Ilioudis, Carmine Clemente +3
Deep learning techniques are subject to increasing adoption for a wide range of micro-Doppler applications, where predictions need to be made based on time-frequency signal represe…
Interference Motion Removal for Doppler Radar Vital Sign Detection Using Variational Encoder-Decoder Neural Network
Mikolaj Czerkawski, Christos Ilioudis, Carmine Clemente +3
The treatment of interfering motion contributions remains one of the key challenges in the domain of radar-based vital sign monitoring. Removal of the interference to extract the v…
On Input Formats for Radar Micro-Doppler Signature Processing by Convolutional Neural Networks
Mikolaj Czerkawski, Carmine Clemente, Craig Michie +1
Convolutional neural networks have often been proposed for processing radar Micro-Doppler signatures, most commonly with the goal of classifying the signals. The majority of works…
Robustness of Deep Neural Networks for Micro-Doppler Radar Classification
Mikolaj Czerkawski, Carmine Clemente, Craig Michie +1
With the great capabilities of deep classifiers for radar data processing come the risks of learning dataset-specific features that do not generalize well. In this work, the robust…
Modelling of Networked Measuring Systems -- From White-Box Models to Data Based Approaches
Klaus-Dieter Sommer, Peter Harris, Sascha Eichstädt +10
Mathematical modelling is at the core of metrology as it transforms raw measured data into useful measurement results. A model captures the relationship between the measurand and a…
Exploring the Capability of Text-to-Image Diffusion Models with Structural Edge Guidance for Multi-Spectral Satellite Image Inpainting
Mikolaj Czerkawski, Christos Tachtatzis
The letter investigates the utility of text-to-image inpainting models for satellite image data. Two technical challenges of injecting structural guiding signals into the generativ…
Detecting Cloud Presence in Satellite Images Using the RGB-based CLIP Vision-Language Model
Mikolaj Czerkawski, Robert Atkinson, Christos Tachtatzis
This work explores capabilities of the pre-trained CLIP vision-language model to identify satellite images affected by clouds. Several approaches to using the model to perform clou…
A Review of Cyber-Ranges and Test-Beds: Current and Future Trends
Elochukwu Ukwandu, Mohamed Amine Ben Farah, Hanan Hindy +7
Cyber situational awareness has been proven to be of value in forming a comprehensive understanding of threats and vulnerabilities within organisations, as the degree of exposure i…
Interoperability and Integration Testing Methods for IoT Systems: a Systematic Mapping Study
Miroslav Bures, Matej Klima, Vaclav Rechtberger +4
The recent active development of Internet of Things (IoT) solutions in various domains has led to an increased demand for security, safety, and reliability of these systems. Securi…