VHDRA: A Vertical and Horizontal Intelligent Dataset Reduction Approach for Cyber-Physical Power Aware Intrusion Detection Systems

<div class="floats-full-page floats-full-page-other"><h2>Table 4</h2><div class="floats-full-page-caption"><div>A comparison between the VHDRA vertical reduction and the other existing approaches.</div></div><div class="floats-full-page-content"><table class="fixed-width table-group sidewaystable" id="tab4"><tr><td><table class="table"><colgroup><col style="width:10.06em" /><col style="width:7.08em" /><col style="width:9.97em" /><col style="width:7.08em" /><col style="width:10.02em" /><col style="width:7.08em" /><col style="width:9.73em" /></colgroup><tr><td class="thead-hr" colspan="7"><hr /></td></tr><tr class="thead"><td class="align_left" rowspan="2"> </td><td class="align_center" colspan="2">Binary class </td><td class="align_center" colspan="2">Triple class </td><td class="align_center" colspan="2">Multiclass </td></tr><tr class="thead"><td class="align_center" colspan="2"><i>Size: 81,664 MB, 128 features</i></td><td class="align_center" colspan="2"><i>Size: 81,669 MB, 128 features </i></td><td class="align_center" colspan="2"><i>Size: 78,963 MB, 128 features </i></td></tr><tr><td class="thead-hr" colspan="7"><hr /></td></tr><tr><td class="align_left">Approach</td><td class="align_center">No. of features</td><td class="align_center">Detection rate (%)</td><td class="align_center">No. of features</td><td class="align_center">Detection rate (%)</td><td class="align_center">No. of features</td><td class="align_center">Detection rate (%)</td></tr><tr><td class="align_left" colspan="7"><hr /></td></tr><tr><td class="align_left" rowspan="2">VHDRA (PSO+ EPA)</td><td class="align_center"><i>15 </i></td><td class="align_center"><i>99.21 </i></td><td class="align_center"><i>14 </i></td><td class="align_center"><i>98.91 </i></td><td class="align_center"><i>18 </i></td><td class="align_center"><i>97.03 </i></td></tr><tr><td class="align_center"><i>(9.57MB) </i></td><td class="align_center"><span width=""><i>EPA Accu. gain:0.83</i><svg height="8.96625pt" id="M104" style="vertical-align:-0.5326109pt" version="1.1" viewbox="-0.0498162 -8.43364 10.0689 8.96625" width="10.0689pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M601 624L563 650L155 -11L192 -37L601 624ZM197 635C88 635 41 536 41 460C41 385 88 285 196 285C307 285 352 385 352 461C352 536 305 635 197 635ZM197 599C246 599 254 511 254 461C254 415 244 321 198 321C151 321 139 413 139 462C139 509 151 599 197 599ZM571 338C461 338 414 239 414 162C414 87 461 -12 570 -12C680 -12 725 87 725 163S678 338 571 338ZM569 302C618 302 627 214 627 164C627 118 618 24 571 24C523 24 512 116 512 164C512 216 523 302 569 302Z"></path></g></svg></span></td><td class="align_center"><i>(8.93MB) </i></td><td class="align_center"><span width=""><i>EPA Accu. gain:0.90</i><svg height="8.96625pt" id="M105" style="vertical-align:-0.5326109pt" version="1.1" viewbox="-0.0498162 -8.43364 10.0689 8.96625" width="10.0689pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M601 624L563 650L155 -11L192 -37L601 624ZM197 635C88 635 41 536 41 460C41 385 88 285 196 285C307 285 352 385 352 461C352 536 305 635 197 635ZM197 599C246 599 254 511 254 461C254 415 244 321 198 321C151 321 139 413 139 462C139 509 151 599 197 599ZM571 338C461 338 414 239 414 162C414 87 461 -12 570 -12C680 -12 725 87 725 163S678 338 571 338ZM569 302C618 302 627 214 627 164C627 118 618 24 571 24C523 24 512 116 512 164C512 216 523 302 569 302Z"></path></g></svg></span></td><td class="align_center"><i>(11.10MB) </i></td><td class="align_center"><span width=""><i>EPA Accu. gain: 3.0</i><svg height="8.96625pt" id="M106" style="vertical-align:-0.5326109pt" version="1.1" viewbox="-0.0498162 -8.43364 10.0689 8.96625" width="10.0689pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M601 624L563 650L155 -11L192 -37L601 624ZM197 635C88 635 41 536 41 460C41 385 88 285 196 285C307 285 352 385 352 461C352 536 305 635 197 635ZM197 599C246 599 254 511 254 461C254 415 244 321 198 321C151 321 139 413 139 462C139 509 151 599 197 599ZM571 338C461 338 414 239 414 162C414 87 461 -12 570 -12C680 -12 725 87 725 163S678 338 571 338ZM569 302C618 302 627 214 627 164C627 118 618 24 571 24C523 24 512 116 512 164C512 216 523 302 569 302Z"></path></g></svg></span></td></tr><tr><td class="align_left" colspan="7"><hr /></td></tr><tr><td class="align_left" rowspan="2">VHDRA (PSO)</td><td class="align_center">17</td><td class="align_center" rowspan="2">98.38</td><td class="align_center">19</td><td class="align_center" rowspan="2">98.01</td><td class="align_center">22</td><td class="align_center" rowspan="2">94.03</td></tr><tr><td class="align_center">(10.85MB)</td><td class="align_center">(12.12MB)</td><td class="align_center">(13.57MB)</td></tr><tr><td class="align_left" colspan="7"><hr /></td></tr><tr><td class="align_left" rowspan="2">NNGE (CFS)</td><td class="align_center">28</td><td class="align_center" rowspan="2">94.68</td><td class="align_center">28</td><td class="align_center" rowspan="2">94.62</td><td class="align_center">28</td><td class="align_center" rowspan="2">87.77</td></tr><tr><td class="align_center">(17.86MB)</td><td class="align_center">(17.91MB)</td><td class="align_center">(17.77MB)</td></tr><tr><td class="align_left" colspan="7"><hr /></td></tr><tr><td class="align_left" rowspan="2">IBL</td><td class="align_center">28</td><td class="align_center" rowspan="2">97.20</td><td class="align_center">17</td><td class="align_center" rowspan="2">97.38</td><td class="align_center">28</td><td class="align_center" rowspan="2">92.10</td></tr><tr><td class="align_center">(17.97MB)</td><td class="align_center">(10.87MB)</td><td class="align_center">(17.62MB)</td></tr><tr><td class="align_left" colspan="7"><hr /></td></tr><tr><td class="align_left" rowspan="2">J48</td><td class="align_center">28</td><td class="align_center" rowspan="2">93.69</td><td class="align_center">28</td><td class="align_center" rowspan="2">93.69</td><td class="align_center">28</td><td class="align_center" rowspan="2">84.45</td></tr><tr><td class="align_center">(18.18MB)</td><td class="align_center">(17.96MB)</td><td class="align_center">(18.92MB)</td></tr><tr><td class="align_left" colspan="7"><hr /></td></tr><tr><td class="align_left" rowspan="2">Random Forest</td><td class="align_center">28</td><td class="align_center" rowspan="2">96.77</td><td class="align_center">28</td><td class="align_center" rowspan="2">96.77</td><td class="align_center">28</td><td class="align_center" rowspan="2">90.41</td></tr><tr><td class="align_center">(18.29MB)</td><td class="align_center">(18.20MB)</td><td class="align_center">(17.54MB)</td></tr><tr><td class="align_left" colspan="7"><hr /></td></tr><tr><td class="align_left">JRip</td><td class="align_center">28</td><td class="align_center">91.20</td><td class="align_center">28</td><td class="align_center">91.22</td><td class="align_center">129</td><td class="align_center">73.94</td></tr><tr class="table-tr"><td colspan="7"><hr class="tbody-hr" /></td></tr></table></td></tr></table></div></div>

Table 4 | VHDRA: A Vertical and Horizontal Intelligent Dataset Reduction Approach for Cyber-Physical Power Aware Intrusion Detection Systems

title

Table 4: VHDRA: A Vertical and Horizontal Intelligent Dataset Reduction Approach for Cyber-Physical Power Aware Intrusion Detection Systems

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Table 4

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