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All figures (12)
Fig. 5: Classifier architecture for intrusion analysis
Table 7: Performance with existing approaches
Fig. 1: Proposed model for intrusion detection
Table 1: Classifier parameters during training
Table 2: Classifier parameters during Testing
Table 3: Sensitivity analysis of training, cross-validation and testing dataset
Fig. 3: PCA algorithm flow
Fig. 2: Feature subset setection algorithm flow
Table 6: Classifier performance on different feature sets
Table 4: Training time, training epochs and performance of testing phase
Table 5: Performance of verification phase
Fig. 4: GA algorithm flow
Journal Article
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DOI
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Enhancing MLP Performance in Intrusion Detection using Optimal Feature Subset Selection based on Genetic Principal Components
[...]
Iftikhar Ahmad
01 Mar 2014
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Applied Mathematics & Information Sciences