Modelling the Mimic Defence Technology for Multimedia Cloud Servers

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Category</td><td class="align_center">Explanation</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Function input</td><td class="align_center"><i>j</i><sup>th</sup> model input</td></tr><tr><td class="align_left">Function output</td><td class="align_center">Arithmetic formula of the <i>j</i><sup>th</sup> convolution result</td></tr><tr><td class="align_left">Process summary</td><td class="align_center">The output of the convolutional function is generated by a special convolution operation with the parameter input as the excitation</td></tr><tr><td class="align_left">Function shape</td><td class="align_center">Pseudo-code shape: outputType convolutional (inputType inputJ)</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Explanation of the convolutional function.</div>

Security and Communication Networks

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Table 2

Table 2: Modelling the Mimic Defence Technology for Multimedia Cloud Servers 