Network Intrusion Detection Method Based on FCWGAN and BiLSTM

<table class="table-group" id="tab5"><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">Before sample generation</td><td class="align_center">After sample generation</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">Normal</td><td class="align_center">67343</td><td class="align_center">67343</td></tr><tr><td class="align_left">DoS</td><td class="align_center">45927</td><td class="align_center">45927</td></tr><tr><td class="align_left">Probe</td><td class="align_center">11656</td><td class="align_center">11656</td></tr><tr><td class="align_left">R2L</td><td class="align_center">995</td><td class="align_center">5995</td></tr><tr><td class="align_left">U2R</td><td class="align_center">52</td><td class="align_center">5052</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Distribution of NSL-KDD dataset before and after sample generation.</div>

Computational Intelligence and Neuroscience

tab5

Table 5

Table 5: Network Intrusion Detection Method Based on FCWGAN and BiLSTM 