Addressing Class Imbalance in Bot-IoT Dataset for Effective Network Intrusion Detection

To address the class imbalance problem in the Bot-IoT dataset, a binary classification method with synthetic minority over-sampling techniques (SMOTE) is proposed to effectively detect attack packets in IoT network traffic.