An Intrusion Detection Method Based on Fully Connected Recurrent Neural Network

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left" rowspan="2">Actualclass</td><td class="align_center" colspan="2">Predictedclass</td></tr><tr class="thead"><td class="align_center">Abnormal</td><td class="align_center">Normal</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">Abnormal</td><td class="align_center">9362(↑)</td><td class="align_center">3471</td></tr><tr><td class="align_left">Normal</td><td class="align_center">298</td><td class="align_center">9413(↑)</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Confusion matrix of model on KDDTest<sup>+</sup> (2-class).</div>

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Table 3

Table 3: An Intrusion Detection Method Based on Fully Connected Recurrent Neural Network 