Design and Implementation of an Anomaly Network Traffic Detection Model Integrating Temporal and Spatial Features

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">CPU</td><td class="align_center">Intel(R)Core (TM)i7-10875H CPU@2.30 GHz</td></tr><tr><td class="align_left">GPU</td><td class="align_center">RTX 2060</td></tr><tr><td class="align_left">RAM</td><td class="align_center">16G</td></tr><tr><td class="align_left">OS</td><td class="align_center">Windows 10 Professional Edition</td></tr><tr><td class="align_left">Compiler environment</td><td class="align_center">Python 3.8.2</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Experimental environment of this paper.</div>

Security and Communication Networks

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Table 2

Table 2: Design and Implementation of an Anomaly Network Traffic Detection Model Integrating Temporal and Spatial Features 