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The paper presents a Denial of Service (DoS) intrusion detection method with hybrid fuzzy set based feed forward neural network from KDD cup 99 records. The data are pre-processed by fuzzy set, which transform record string attributes to double types and find the data record internal rules. After data pre-process, about 60 percent of selected KDD 99 64633 records are selected for training and each...
Many previous genetic algorithm methods can get much better example results in KDD cup 99 dataset. In the real intrusion detection system, the software needs update the rule even everyday. In this paper, we expand previous work and present a fitness function, propose an efficient rule generator for denial of services of network intrusion detection. We use more chromosomes with relevant features and...
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