An Intrusion Detection System for the Internet of Things Based on the Ensemble of Unsupervised Techniques

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Division</td><td class="align_center">Distribution</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Training</td><td class="align_center">80% normal</td></tr><tr><td class="align_left">Validation</td><td class="align_center"><span style="width: 127.629ptpx;"><svg height="9.77526pt" id="M151" style="vertical-align:-0.4673595pt" version="1.1" viewbox="-0.0498162 -9.3079 127.629 9.77526" width="127.629pt" 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="M384 0V27C293 34 287 42 287 114V635C232 613 172 594 109 583V559L157 557C201 555 205 550 205 499V114C205 42 199 34 109 27V0H384Z"></path></g><g transform="matrix(.013,0,0,-0.013,6.24,0)"><path d="M241 635C89 635 35 457 35 312C35 153 89 -12 240 -12C390 -12 443 166 443 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<div>The proportion of the dataset.</div>

Wireless Communications and Mobile Computing

tab3

Table 3

Table 3: An Intrusion Detection System for the Internet of Things Based on the Ensemble of Unsupervised Techniques 