4 papers
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…
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…
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…
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…