8 citations · 15 across the 3 of their papers we have counts for
3 papers
Relation-aware based Siamese Denoising Autoencoder for Malware Few-shot Classification
Jinting Zhu, Julian Jang-Jaccard, Ian Welch +4
When malware employs an unseen zero-day exploit, traditional security measures such as vulnerability scanners and antivirus software can fail to detect them. This is because these…
Reconstruction-based LSTM-Autoencoder for Anomaly-based DDoS Attack Detection over Multivariate Time-Series Data
Yuanyuan Wei, Julian Jang-Jaccard, Fariza Sabrina +3
A Distributed Denial-of-service (DDoS) attack is a malicious attempt to disrupt the regular traffic of a targeted server, service, or network by sending a flood of traffic to overw…
Generative Adversarial Networks for Malware Detection: a Survey
Aeryn Dunmore, Julian Jang-Jaccard, Fariza Sabrina +1
Since their proposal in the 2014 paper by Ian Goodfellow, there has been an explosion of research into the area of Generative Adversarial Networks. While they have been utilised in…