activity
20172026
most citedThreat analysis of IoT networks Using Artificial Neural Network Intrusion Detection System

444 citations · 1.3k across the 22 of their papers we have counts for

collaborators

26 papers

cs.CR2026

Few-Shot Network Intrusion Detection Using Online Triplet Mining

Jack Wilkie, Hanan Hindy, Christos Tachtatzis +2

Network intrusion detection systems play a vital role in protecting networks by detecting malicious network traffic which can then be investigated by a cybersecurity operations cen…

cs.CR2026★ 5 cited

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…

eess.SY2025

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…

cs.CR2025

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…

cs.LG2025★ 5 cited

Contrastive Self-Supervised Network Intrusion Detection using Augmented Negative Pairs

Jack Wilkie, Hanan Hindy, Christos Tachtatzis +1

Network intrusion detection remains a critical challenge in cybersecurity. While supervised machine learning models achieve state-of-the-art performance, their reliance on large la…

eess.SP2024★ 1 cited

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…