Application of a New Feature Generation Algorithm in Intrusion Detection System

<table class="table-group" id="tab16"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td class="align_left" colspan="2"> Dataset</td><td class="align_center" colspan="2">UNSW_NB15 (%)</td><td class="align_center">CSE-CIC-IDS2018 (%)</td></tr><tr class="thead"><td class="align_left" colspan="2">Classification</td><td class="align_center">Binary</td><td class="align_center">Ten</td><td class="align_center">Three</td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td class="align_left" rowspan="2">Method</td><td class="align_left">Catboost</td><td class="align_center">100</td><td class="align_center">75.60</td><td class="align_center">100</td></tr><tr><td class="align_left">mgfg + Catboost</td><td class="align_center">100</td><td class="align_center">99.93</td><td class="align_center">100</td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Comparison of the results of the original Catboost algorithm and mgfg + Catboost algorithm 2.</div>

Wireless Communications and Mobile Computing

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Table 16

Table 16: Application of a New Feature Generation Algorithm in Intrusion Detection System 