Genetic-fuzzy rule mining approach and evaluation of feature selection techniques for anomaly intrusion detection

Classification of intrusion attacks and normal network traffic is a challenging and critical problem in pattern recognition and network security. In this paper, we present a novel intrusion detection approach to extract both accurate and interpretable fuzzy IF–THEN rules from network traffic data fo...

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