Intrusion Detection and Attack Classifier Based on Three Techniques: A Comparative Study
Different soft-computing based methods have been proposed in recent years for the development of intrusion detection systems.The purpose of this work is to development, implement and evaluate an 22 k light ride anomaly off-line based intrusion detection system using three techniques; data mining association rules, decision trees, and artificial neu