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…