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.