An Intrusion Detection Method Based on Fully Connected Recurrent Neural Network

<table class="table-group" id="tab12"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Class</td><td class="align_center">Number of training set samples</td><td class="align_center">Number of test set samples</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">Normal</td><td class="align_center">19454</td><td class="align_center">12118</td></tr><tr><td class="align_left">DoS</td><td class="align_center">78290</td><td class="align_center">45970</td></tr><tr><td class="align_left">Probe</td><td class="align_center">822</td><td class="align_center">834</td></tr><tr><td class="align_left">U2R</td><td class="align_center">12</td><td class="align_center">48</td></tr><tr><td class="align_left">R2L</td><td class="align_center">226</td><td class="align_center">3238</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

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tab12

Table 12

Table 12: An Intrusion Detection Method Based on Fully Connected Recurrent Neural Network 