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07/20/2023
Ensemble Learning based Anomaly Detection for IoT Cybersecurity via Bayesian Hyperparameters Sensitivity Analysis
The Internet of Things (IoT) integrates more than billions of intelligen...
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06/27/2023
Classification and Explanation of Distributed Denial-of-Service (DDoS) Attack Detection using Machine Learning and Shapley Additive Explanation (SHAP) Methods
DDoS attacks involve overwhelming a target system with a large number of...
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02/16/2023
Generative Adversarial Networks for Malware Detection: a Survey
Since their proposal in the 2014 paper by Ian Goodfellow, there has been...
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08/20/2022
Improving Multilayer-Perceptron(MLP)-based Network Anomaly Detection with Birch Clustering on CICIDS-2017 Dataset
Machine learning algorithms have been widely used in intrusion detection...
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05/17/2022
Explainable and Optimally Configured Artificial Neural Networks for Attack Detection in Smart Homes
In recent years cybersecurity has become a major concern in adaptation o...
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04/14/2022
LSTM-Autoencoder based Anomaly Detection for Indoor Air Quality Time Series Data
Anomaly detection for indoor air quality (IAQ) data has become an import...
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03/30/2022
IGRF-RFE: A Hybrid Feature Selection Method for MLP-based Network Intrusion Detection on UNSW-NB15 Dataset
The effectiveness of machine learning models is significantly affected b...
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02/02/2022
Training a Bidirectional GAN-based One-Class Classifier for Network Intrusion Detection
The network intrusion detection task is challenging because of the imbal...
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10/15/2019