[Retracted] An AI-Driven Hybrid Framework for Intrusion Detection in IoT-Enabled E-Health

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Attacks</td><td class="align_center">Instances</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Normal</td><td class="align_center">56,600</td></tr><tr><td class="align_left">DrDoS-MSSQL</td><td class="align_center">2400</td></tr><tr><td class="align_left">Dr-DoS</td><td class="align_center">2350</td></tr><tr><td class="align_left">DrDoS-SSDP</td><td class="align_center">2368</td></tr><tr><td class="align_left">PORTMAP</td><td class="align_center">2496</td></tr><tr><td class="align_left">UDP-lag</td><td class="align_center">2300</td></tr><tr><td class="align_left">SYN</td><td class="align_center">2341</td></tr><tr><td class="align_left">DrDoS-UDP</td><td class="align_center">2600</td></tr><tr><td class="align_left">WebDDoS</td><td class="align_center">2365</td></tr><tr><td class="align_left">Total</td><td class="align_center"><b>75,820</b></td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Computational Intelligence and Neuroscience

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Table 1

Table 1: [Retracted] An AI-Driven Hybrid Framework for Intrusion Detection in IoT-Enabled E-Health 