INTRUSION detection systems (Computer security)This article examines intrusion detection systems in depth using the CSE-CIC-IDS-2018 dataset. The investigation is divided into three stages: to begin, data cleaning, exploratory data analysis, and data normalization procedures (min...
Deep Model Intrusion Detection Evaluation of NSL KDD and CIC IDS 2018 datasets. Usage install jupyter-notebook. pip install jupyter-notebook Download the .ipynb files via git clone or download zip. git clone https://github.com/WhiteHatCyberus/Deep-Learning-Evaluation-of-IDS-Datasets.git Now run...
NF-CSE-CIC-IDS2018-v2_cv-全量 8 NF-CSE-CIC-IDS2018-v2_cv 全量预处理生成。由源文件(https://rdm.uq.edu.au/files/ce5161d0-ef9c-11ed-827d-e762de186848)预处理生成。数据包括:n_features, e_features, edge_index,edge_label, tvt, label2idx,edge_ids,node_label...
The proposed method has been applied to a CSE-CIC-IDS2018 dataset. It is the most recent dataset that is publicly available, an extensive dataset that includes a wide range of attack types. This data has been pre-processed and cleaned to find helpful information for classification by the ...
The proposed methodology significantly improves classification performance on the CSE-CIC-IDS2018 dataset, particularly for attack types where traditional average-based feature-ranking score combinations result in low classification metrics.Gcs, László...
预处理文件 随机采样40% 交叉验证。数据包含n_features, e_features, edge_index,edge_label, tvt, label2idx,edge_ids,node_label
Optimized Deep Learning with Binary PSO for Intrusion Detection on CSE-CIC-IDS2018 DatasetFarhan, Rawaa IsmaelMaolood, Abeer TariqHassan, Nidaa FlaihJournal of Qadisiyah Computer Science & Mathematics
预处理文件 交叉验证 随机采样40% 数据包含n_features, e_features, edge_index,edge_label, tvt, label2idx,edge_ids,node_label
We use these models to handle binary and multiclass classification on the updated cybersecurity CSE-CIC-IDS2018 dataset. The recommended approach offers superior intrusion detection performance regarding Recall, accuracy, and precision. The recommended procedure yielded accu...
Benchmarking bioinspired machine learning algorithms with CSE-CIC-IDS2018 network intrusions datasetPaulo FerreiraMário AntunesPortuguese Conference on Pattern Recognition (RecPad'20)