An Empirical Study on GAN-Based Traffic Congestion Attack Analysis: A Visualized Method

<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">Platform</td><td class="align_center">Experimental configuration</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left" rowspan="5">VISSIM</td><td class="align_center">Operating system: Windows 10</td></tr><tr><td class="align_center">CPU: AMD Ryzen 5 3550H with Radeon Vega Mobile Gfx 2.10 GHz</td></tr><tr><td class="align_center">RAM: 16 G</td></tr><tr><td class="align_center">Version: PTV VISSIM 4.30</td></tr><tr><td class="align_center">Interface: VISSIM Component Object Model (COM)</td></tr><tr><td class="align_center" colspan="2"><hr/></td></tr><tr><td class="align_left" rowspan="6">CycleGAN</td><td class="align_center">Operating system: Ubuntu 16.04.6 LTS</td></tr><tr><td class="align_center">CPU: Intel(R) Core(TM) i7-9700F CPU @ 3.00 GHz</td></tr><tr><td class="align_center">RAM: 32 G</td></tr><tr><td class="align_center">GPU: MSI GeForce RTX 2070 VENTUS</td></tr><tr><td class="align_center">Graphic memory: 151 MiB</td></tr><tr><td class="align_center">Framework: TensorFlow_gpu-1.14.0</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Experimental platform and configuration.</div>

Wireless Communications and Mobile Computing

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Table 1

Table 1: An Empirical Study on GAN-Based Traffic Congestion Attack Analysis: A Visualized Method 