318 citations · 368 across the 10 of their papers we have counts for
5 papers · 1 filter
Ensemble Learning based Anomaly Detection for IoT Cybersecurity via Bayesian Hyperparameters Sensitivity Analysis
Tin Lai, Farnaz Farid, Abubakar Bello +1
The Internet of Things (IoT) integrates more than billions of intelligent devices over the globe with the capability of communicating with other connected devices with little to no…
LSTM-Autoencoder based Anomaly Detection for Indoor Air Quality Time Series Data
Yuanyuan Wei, Julian Jang-Jaccard, Wen Xu +3
Anomaly detection for indoor air quality (IAQ) data has become an important area of research as the quality of air is closely related to human health and well-being. However, tradi…
Training a Bidirectional GAN-based One-Class Classifier for Network Intrusion Detection
Wen Xu, Julian Jang-Jaccard, Tong Liu +1
The network intrusion detection task is challenging because of the imbalanced and unlabeled nature of the dataset it operates on. Existing generative adversarial networks (GANs), a…
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…
MSD-Kmeans: A Novel Algorithm for Efficient Detection of Global and Local Outliers
Yuanyuan Wei, Julian Jang-Jaccard, Fariza Sabrina +1
Outlier detection is a technique in data mining that aims to detect unusual or unexpected records in the dataset. Existing outlier detection algorithms have different pros and cons…