A Deep Random Forest Model on Spark for Network Intrusion Detection

<table class="table-group" id="tab6"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Parameters</td><td class="align_center">Feature-grained random forest</td><td class="align_center">Cascade layers random forest</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left"><i>n</i>_estimators</td><td class="align_center">150</td><td class="align_center">350</td></tr><tr><td class="align_left">max_depth</td><td class="align_center">10</td><td class="align_center">15</td></tr><tr><td class="align_left">max_features</td><td class="align_center"><span style="width: 16.6193ptpx;"><svg height="13.1484pt" id="M45" style="vertical-align:-2.636801pt" version="1.1" viewbox="-0.0498162 -10.5116 16.6193 13.1484" width="16.6193pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,-.271)"><path d="M782 731H740L476 -79H474L280 352L133 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-4 77 3 107 9C119 69 132 122 145 168C197 254 321 381 370 381C387 381 393 374 378 305L329 95C309 17 320 -12 345 -12C372 -12 430 19 495 86Z"></path></g><g transform="matrix(.013,0,0,-0.013,34.939,0)"><path d="M535 230V280H323V490H265V280H52V230H265V-3H323V230H535Z"></path></g><g transform="matrix(.013,0,0,-0.013,45.476,0)"><path d="M311 0V25C221 32 216 41 216 113V635C162 613 103 594 39 583V559L88 556C131 552 135 546 135 500V113C135 41 131 32 40 25V0H311Z"></path></g><g transform="matrix(.013,0,0,-0.013,49.886,0)"><path d="M275 270C275 450 212 609 64 710L45 686C145 604 203 442 203 270S147 -63 45 -147L64 -170C213 -68 275 89 275 270Z"></path></g></svg></span></td></tr><tr><td class="align_left">min_samples_leaf</td><td class="align_center">4</td><td class="align_center">2</td></tr><tr><td class="align_left">min_samples_split</td><td class="align_center">2</td><td class="align_center">2</td></tr><tr><td class="align_left">Criterion</td><td class="align_center">Gini</td><td class="align_center">Gini</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>The hyper-parameter setting of FS-DPRF.</div>

Mobile Information Systems

tab6

Table 6

Table 6: A Deep Random Forest Model on Spark for Network Intrusion Detection 