Evaluation of Anomaly-Based Intrusion Detection with Combined Imbalance Correction and Feature Selection

Intrusion detection systems (IDSs) are an important security mechanism to protect computing resources under various environments. To detect malicious unknown events, machine learning is often used to support anomaly-based detection. However, such kind of