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Malicious intrusion is the behavior that threats a large number of computers; therefore, recent research has focused on devising new techniques to detect and control internet intrusion with high efficiency and low cost. Unfortunately some anomaly detection system (ADS) over machine learning may get some false alarms if the results of machine learning cannot cover all the normal or abnormal data. In...
High false alarm rate and time-space cost of rule extraction and detection limit the application of machine learning in real intrusion detection system (IDS), and IDS cannot satisfy most system performance requirements simultaneously. In this paper, a Constraint-based gene expression programming rule extraction algorithm (CGREA) is proposed which guarantees the validity of rules and reduces the evolution...
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