318 citations · 422 across the 5 of their papers we have counts for
5 papers
Autoencoder-based Unsupervised Intrusion Detection using Multi-Scale Convolutional Recurrent Networks
Amardeep Singh, Julian Jang-Jaccard
The massive growth of network traffic data leads to a large volume of datasets. Labeling these datasets for identifying intrusion attacks is very laborious and error-prone. Further…
IGRF-RFE: A Hybrid Feature Selection Method for MLP-based Network Intrusion Detection on UNSW-NB15 Dataset
Yuhua Yin, Julian Jang-Jaccard, Wen Xu +4
The effectiveness of machine learning models is significantly affected by the size of the dataset and the quality of features as redundant and irrelevant features can radically deg…
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…
Intrusion Detection using Spatial-Temporal features based on Riemannian Manifold
Amardeep Singh, Julian Jang-Jaccard
Network traffic data is a combination of different data bytes packets under different network protocols. These traffic packets have complex time-varying non-linear relationships. E…
Task-Aware Meta Learning-based Siamese Neural Network for Classifying Obfuscated Malware
Jinting Zhu, Julian Jang-Jaccard, Amardeep Singh +2
Malware authors apply different techniques of control flow obfuscation, in order to create new malware variants to avoid detection. Existing Siamese neural network (SNN)-based malw…