Design of an Evolutionary Approach for Intrusion Detection

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="962185.fig.004a" src="https://static.hindawi.com/articles/tswj/volume-2013/962185/figures/962185.fig.004a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>Training performance of noninferior NB based ensembles for KDD 1 data subset</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="962185.fig.004b" src="https://static.hindawi.com/articles/tswj/volume-2013/962185/figures/962185.fig.004b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>Test performance of noninferior NB based ensembles for KDD 1 data subset</td></tr></table></td></tr></table>

<table>  Training and test performance of noninferior NB based ensembles for KDD 1 data subset.</table>

The Scientific World Journal

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Figure 4

Figure 4: Design of an Evolutionary Approach for Intrusion Detection 