A Network Security Situation Prediction Method through the Use of Improved TCN and BiDLSTM

<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">Project</td><td class="align_center">Environmental parameters</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">CPU</td><td class="align_center">Intel core i5 10600 KF</td></tr><tr><td class="align_left">GPU</td><td class="align_center">NVIDIA RTX2060</td></tr><tr><td class="align_left">Python version</td><td class="align_center">3.6</td></tr><tr><td class="align_left">TensorFlow version</td><td class="align_center">1.14</td></tr><tr><td class="align_left">Keras version</td><td class="align_center">2.2.5</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Experimental operating environment.</div>

Mathematical Problems in Engineering

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Table 3

Table 3: A Network Security Situation Prediction Method through the Use of Improved TCN and BiDLSTM 