ENSEMBLE OF CLUSTERING ALGORITHMS FOR ANOMALY INTRUSION DETECTION SYSTEM

摘要

Maximizing detection accuracy and minimizing the false alarm rate are two major challenges in the design of an anomaly Intrusion Detection System (IDS). These challenges can be handled by designing an ensemble classifier for detecting all classes of attac