LT-FS-ID: Intrusion detection data WSNs

This dataset is consist of five columns. The first four columns represent the input features (i.e., area, sensing range, transmission range, and the number of sensors). The last column represents the response variable or target variable (i.e., number of barriers). Through this dataset, we can set up a regression model to predict the number of barriers required for fast intrusion detection and prevention in machine learning.本数据集共包含五列数据。前四列均为输入特征，分别为覆盖区域、感知范围（sensing range）、传输范围（transmission range）与传感器数量；最后一列为响应变量（response variable）或目标变量（target variable），即屏障数量。借助该数据集，可搭建回归模型，用于机器学习任务中快速预测快速入侵检测与防护所需的屏障数量。