78 citations · 86 across the 5 of their papers we have counts for
5 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…
Malware Triage Approach using a Task Memory based on Meta-Transfer Learning Framework
Jinting Zhu, Julian Jang-Jaccard, Ian Welch +2
To enhance the efficiency of incident response triage operations, it is not cost-effective to defend all systems equally in a complex cyber environment. Instead, prioritizing the d…
A Few-Shot Meta-Learning based Siamese Neural Network using Entropy Features for Ransomware Classification
Jinting Zhu, Julian Jang-Jaccard, Amardeep Singh +3
Ransomware defense solutions that can quickly detect and classify different ransomware classes to formulate rapid response plans have been in high demand in recent years. Though th…
A Survey on Threat Situation Awareness Systems: Framework, Techniques, and Insights
Hooman Alavizadeh, Julian Jang-Jaccard, Simon Yusuf Enoch +4
Cyberspace is full of uncertainty in terms of advanced and sophisticated cyber threats which are equipped with novel approaches to learn the system and propagate themselves, such a…
Genetic Programming and Gradient Descent: A Memetic Approach to Binary Image Classification
Benjamin Patrick Evans, Harith Al-Sahaf, Bing Xue +1
Image classification is an essential task in computer vision, which aims to categorise a set of images into different groups based on some visual criteria. Existing methods, such a…