Thi-Thu-Huong/Comprehensive_Feature_Extraction_DDoS_Datasets

基于特征提取的综合DDoS数据集，包括五个公开发布的DDoS数据集，采用相关性、互信息和单变量特征选择三种特征提取方法。这些数据集用于评估DDoSBERT方法，该方法是一种创新的利用变压器文本分类进行DDoS检测的方法。

Comprehensive DDoS Datasets based on Feature Extraction, which includes five published DDoS datasets based on three feature extracted methods, including correlation, mutual information, and univariate feature selection. These datasets are used to evaluate the DDoSBERT approach, an innovative method using transformer text classification for DDoS detection.