Machine Learning Enabled Techniques for Protecting Wireless Sensor Networks by Estimating Attack Prevalence and Device Deployment Strategy for 5G Networks

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Input machine</td><td class="align_center">Input address</td><td class="align_center">Spec of the input hardware</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">Virtual machine 1</td><td class="align_center">1.193.168.205</td><td class="align_center">64-bit higher-end processor</td></tr><tr><td class="align_left">Virtual machine 2</td><td class="align_center">1.193.168.206</td><td class="align_center">64-bit higher-end processor</td></tr><tr><td class="align_left">Virtual machine 3</td><td class="align_center">1.193.168.203</td><td class="align_center">64-bit higher-end processor</td></tr><tr><td class="align_left">Virtual machine 4</td><td class="align_center">1.193.168.204</td><td class="align_center">64-bit higher-end processor</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Different machine’s specifications.</div>

Wireless Communications and Mobile Computing

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Table 2

Table 2: Machine Learning Enabled Techniques for Protecting Wireless Sensor Networks by Estimating Attack Prevalence and Device Deployment Strategy for 5G Networks 

Table 2 | Machine Learning Enabled Techniques for Protecting Wireless Sensor Networks by Estimating Attack Prevalence and Device Deployment Strategy for 5G Networks 